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The salary advertised is full time (35 hours per week, 52 weeks per year).Part-time hours / sessional posts will be pro-rated accordingly.This is a 52-week non-sessional post i.You will be asked to indicate which post(s) you would like to be considered for when you complete the application form.To a

Cleaner (2) (Permanent) (15/5057) (15/5188).Join our award-winning school cleaning team.We’re proud of our award-winning service, recognised with:.ASSIST-FM Contribution to Cleaning Award - 2022.APSE Building Cleaning Innovation Award - 2023.Building Cleaning Most Improved Performance Networks Awa

Ripple is seeking a Staff Data Scientist to serve as the technical lead across its product and business portfolio.You will define analytics vision, build frameworks, and use AI tooling to accelerate analytics across the company.You will partner with product leaders to frame questions, set analytical

So if you\u2019re passionate about learning new things and keen to join our mission, you\u2019ll fit right in.

United States Digital Space LLC in the United Kingdom is seeking a Lead Data Scientist to set technical direction and deliver high-impact, scalable AI solutions for public and private sector clients.You will mentor cross-functional teams, shape technical standards, and build long-term client relatio

Ship a consumer- facing solution within weeksExtensively collaborate with Product, Software Engineering, Lens Content and Data Science teams to prototype new ideas, integrate ML models and APIs into production, and refine them through A/B testing and user feedbackActively monitor the market and rese

Synthires is seeking Senior Data Scientists to contribute to advanced AI research and evaluation projects.You will assess AI-generated data science outputs, perform statistical analyses, and provide technical feedback to improve model performance.Ideal candidates bring data science, ML, and analytic

Graham Capital in Greater London is looking for a Machine Learning Engineer to join their Data Science team. Candidates should have at least 3 years of experience with Machine Learning on large data sets and proficiency in Python.

CoreWeave is seeking a Data Scientist to join the Monolith Data Science team, building a reliability platform that blends telemetry, anomaly detection, and optimization to improve cluster performance and cost.You will deploy models in production, collaborate with engineering, design experiments, ana

Lead Machine Learning Engineer - Risk Decisioning Office: United Kingdom Remote:Spain | UK Apply for this role. You’ll be working on a hugely impactful workstream, focused on the machine learning that underpins our Risk Decisioning feature. Extensive experience building and deploying Machine Learn

As a Principal Machine Learning Engineer, you’ll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real‑time insights and personalised experiences for millions of fans. Lead the end‑to‑end development of AI solutions using C

Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents. Experience with machine‑learning frameworks (PyTorch, TensorFlow, JAX). Experience with reinforcement learning techniques and environments.

We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. You'll be joining a team with access to cutting‑edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisc

You’ve built and shipped CV‑focused deep learning systems and can demonstrate strong applied ML engineering (not research‑only). We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

NielsenIQ is seeking a Principal Data Scientist to shape high‑impact, client‑relevant Data Science concepts and ensure strategic coherence across teams and domains.The role emphasizes conceptual work, influencing direction, and scaling value across Media Measurement, Audience Activation, and Per

With our sophisticated, global client base, we recognize that our success is deeply connected to real people.

Data Science Festival is seeking a Staff Data Scientist based in London, offering a salary of £120K – £140K plus equity.This strategic role focuses on geospatial data and operational optimization, requiring the candidate to lead product development and collaborate with multiple teams to improve

Senior Operations Research Data Scientist Contract | £600-£900/day | Hybrid London.We are working with a major international transport and operations organisation building out a central AI and Data Science capability focused on solving complex operational optimisation problems across multiple busi

This position combines deep expertise in machine learning with strategic oversight to define project roadmaps, manage technical risk, and architect reliable solutions. You bring depth of expertise in at least one machine learning domain and strong technical breadth across the entire data science lan

Sanderson Government & Defence is seeking a Data Scientist with active SC clearance for a 6-month contract in a hybrid working environment.The role offers a day rate of £570 and requires close collaboration with Engineering and MI teams to deliver data-driven insights.The successful candidate will

Cantina is a new social platform founded by Sean Parker with the most advanced AI character creator.Our bots are lifelike, social creatures that can interact wherever people are online—across voice, video, and text.Create yourself, imagine someone new, or choose from thousands of characters to sha

About Us At the company, we are on a mission to help build a better Internet.Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers rangin.Technical Escalations Engineer 2 (Revenue and Cost Management) - APJ.As the co

Principal Machine Learning Scientist. Principal Machine Learning Scientist. Work with sequential modelling, embeddings, semantic retrieval and multimodal learning.

The position offers a competitive salary ranging from $180,000 to $220,000, flexibility for remote working, a monthly learning budget, and generous options for personal development.

Deep expertise in machine learning, with hands‑on experience building and deploying large‑scale systems in production environments. We care deeply about authenticity and want to understand your real skills, judgment and voice, because building a meaningful, genuine connection with you matters to

Learning and development: Budgets for books, courses, and company-wide training to support your continuous growth.

Capstone Investment Advisors is seeking a data-focused professional in London to join the Data and AI group.You’ll integrate diverse data sources, work with quants and engineers, and develop data-driven decisions for investment strategies.The role emphasizes problem-solving, collaboration and inno

Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real‑world challenges. Proficiency in machine learning, NLP, and deep learning algorithms, with experience using frameworks such as TensorFlow or PyTorch. We are see

Tripadvisor is seeking a Principal Product Data Scientist to shape vision, set the technical direction, and drive strategic impact through innovative analytical solutions.You will partner with Product, Engineering, Design, and Commercial teams to define metrics, build scalable data platforms, and ad

Deep expertise in LLM and deep learning training and deployment at scale. CrowdStrike is seeking a Applied Researcher to join our team building greenfield next-generation AI that stops breaches and is powered by large language models (LLMs), deep learning, and other modern AI techniques. Advanced kn

Expedia Group is seeking a Senior Data Scientist in London to provide analytics and decision support for the Localization product within Content Product Analytics.You will partner with cross-functional teams to understand user behavior, run experiments, and solve problems using statistics and causal

Deep understanding of statistics (A/B testing, regression, probability).

Experience with machine learning and statistical modelling techniques.

Lead complex initiatives to design, train, and deploy batch and real-time machine learning models into well governed production environments. Partner closely with Product Management and external Tech Partnerships to deeply understand core business challenges and design algorithms that directly solve

Strong background in classical neural networks and deep learning fundamentals before specializing in modern LLMs and transformer architectures - you understand the foundations, not just the latest tools. As ML Engineer at Maze, you'll be the technical leader driving our machine learning infrastructu

The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models to deliver training

Research Engineer, Machine Learning (RL Velocity). This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferenc

About Us At the company, we are on a mission to help build a better Internet.Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers rangin.Technical Escalations Engineer 2 (Revenue and Cost Management) - APJ.As the co

At Data Idols, we are working with a high-growth technology business using advanced data science, machine learning and operational intelligence to solve complex real-world movement and optimisation problems at scale.

CoMind is building non-invasive neuromonitoring tech to improve diagnosis and treatment of brain disorders.As Principal Data Scientist, you’ll set methodological direction for signal extraction and ML modelling, driving the most complex, high‑impact problems and guiding the team’s approach.You

A major international transport company is seeking a Senior Operations Research Data Scientist for a contract role focused on optimising logistics and operational efficiency.This hands-on position requires proven experience in building optimisation solutions in production.The candidate will work clo

Lead complex initiatives to design, train, and deploy batch and real-time machine learning models into well governed production environments. Partner closely with Product Management and external Tech Partnerships to deeply understand core business challenges and design algorithms that directly solve

Deep proficiency in PD model development and validation, with strong knowledge of calibration techniques.

IAG Loyalty, a leader in travel and loyalty experiences, is seeking a commercially minded Data Science Lead to join the Data Products Leadership Team in London.The role blends technical leadership with hands-on delivery across ML solutions that drive customer engagement, profitability and growth acr

You’ll be working on a hugely impactful workstream, focused on the machine learning that underpins our Risk Decisioning feature. Extensive experience building and deploying Machine Learning models to production.

Senior Data Scientist to lead advanced optimisation projects and shape robust ML architectures that improve payment flows.You will work with senior peers to design scalable models and production-grade Python tools, driving multi-objective optimisation across complex systems.The role emphasizes colla

Deep, hands‑on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e. Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence

A learning environment where you can dive deep into the latest technologies and make an impact. Deep expertise in experimentation, causal inference, forecasting, and statistical modeling in a product environment. A professional development budget to support other modes of learning.