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CSCS Cleaner Required - National Grid, Radlett (WD25 8DT) We are currently looking for an experienced CSCS Cleaner to join a busy construction project at National Grid, Radlett (WD25 8DT).Job Details: ?? Location: National Grid, Radlett, WD25 8DT ?? Rate: £16.Overtime and Saturday work available ??

You have: A strong background in data science, machine learning or security analytics Experience leading, developing and growing high-performing technical teams A track record of delivering AI, machine learning or analytics solutions into production Strong stakeholder management skills and the abili

Are you ready to start a new career in Data Analysis?.The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable.

Job DescriptionSenior Warehouse Operative Read all the information about this opportunity carefully, then use the application button below to send your CV and application.Salary: £30,000 per annum <p&g

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

Deep expertise in Python and modern AI/ML frameworks (e.

You’ve built and shipped CV-focused deep learning systems and can demonstrate strong applied ML engineering (not research-only). In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power

Staff Machine Learning Engineer (Technical Lead, Machine Learning). Staff Machine Learning Engineer. Working at the intersection of research, infrastructure, and product, you'll be responsible for turning research direction into reliable, scalable, production‑grade machine learning systems.

Deep expertise in at least one advanced analytics area, with experience across several of the following: predictive modelling on tabular data, deep learning, NLP and large language models, generative AI pipelines, simulations, graph‑based models, time‑series forecasting, geospatial modelling, ca

Global FTSE PLC is seeking a Principal Data Scientist for its AI & Data Strategy within the Group Internal Audit team.This role offers a rare opportunity to build an AI-driven capability from the ground up - transforming Internal Audit from traditional sampling and retrospective reviews into continu

Advance experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analytical capabilities. Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams. Stay at the forefront of the

Lead the development of cutting‑edge Deep Learning models and Generative AI (LLM/VLM) solutions to enhance human‑led triaging, introduce automation for high‑volume workflows, and perform nuanced analysis of self‑driving behavior to detect critical anomalies. Machine Learning models, with a s

Sony Interactive Entertainment in London is seeking a Staff Data Scientist to lead experimentation and causal inference, shaping decision‑making and product innovation across PlayStation.You will mentor teammates and elevate our experimentation strategy with rigorous, evidence‑based approaches.Y

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.

This role requires a proven record in delivering impactful ML/AI solutions and deep expertise in Python and modern frameworks like PyTorch and TensorFlow.

As a Research Engineer within Reinforcement Learning, you will collaborate with researchers and engineers to advance the capabilities and safety of large language models. Architect and optimize core reinforcement learning infrastructure, including training abstractions and distributed experiment man

TensorFlow), artificial intelligence, deep learning, or natural language processing. The Core Machine Learning (ML) Organization drives ML excellence for Google. The Core ML organization is responsible for creating a cohesive, well lit path for machine learning at Google.

Principal Machine Learning Engineer. 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‑en

Reinforcement learning or contextual‑bandit decisioning, and offline evaluation for recommendation or decisioning systems.

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

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

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

As a Principal Machine Learning Engineer, you will be responsible for turning research direction into production-grade machine learning systems. Strong background in deep learning and transformer-based architectures. Hands‑on experience training, fine‑tuning, or deploying large‑scale machine l

Conduct experiments on the latest deep‑learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs). Experience in deep learning, NLP or LLMs; bonus for CUDA or data‑pipeline chops. At Mistral AI, we believe in the power of AI to simplify tasks, save time, and en

Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. You thrive on deep context and want to understand the fundamental logic behind every

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. With access

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

Wise is seeking a talented quantitative developer to join the Treasury Markets Data Science team.You will own the production infrastructure that powers FX pricing, risk and trading systems with real-time performance and reliability.You will collaborate with quants, traders, analysts and engineers to

The Reinforcement Learning Team at the Huawei London Research Centre is seeking a highly skilled and research-driven Machine Learning Engineer to join our team. This role focuses on advancing the state-of-the-art in reinforcement learning, Bayesian optimisation, AI agents, large language models (LLM

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 understanding of the modern Machine Learning stack, for example:. We are hiring a Principal Machine Learning Engineer to work on cutting‑edge R&D and translating research into customer‑centric solutions. Fuelled by innovation, inclusivity, and a passion for making a global impact through wo

Are you a machine learning and operations expert interested in shaping the future of artificial intelligence? Do you want to use your expertise to help train smarter AI models—on your own terms and schedule? Join 10x Team as a Freelance Machine Learning Operations Engineer – AI Trainer and contr

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.

Depop is seeking a Senior Product Data Scientist to join the Insights team.You’ll partner with product, engineering and ML to deliver insights, drive experimentation, and shape the future of Depop’s product ecosystem.You’ll translate complex data into clear narratives and influence roadmap pri

Your focus will be to dive deep into multiple data sets to understand relationships, develop time series, forecasting models, and support quant strategies, and provide new insights and leverage state‑of‑the‑art machine learning and advanced statistical methods to produce the best data sources

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

Our in-house Research Team aims to build foundational expertise and develops the next-generation in of deep learning technologies for life science applications; for example, generative models for protein sequence and structure, protein structure prediction and inverse folding, ML-enhanced molecular

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

As a Staff Machine Learning Engineer, you’ll provide technical leadership for the ML infrastructure that underpins these capabilities, working across teams to define the architecture, roadmap and engineering direction for the next generation of our platform. Deep knowledge of model serving archite

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

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

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

Deep expertise in machine learning, with hands‑on experience building and deploying large‑scale systems in production environments. Define and lead the technical strategy for AI and Machine Learning systems that power recommendations, ranking, and personalization across Bumble products, deliveri

Deep expertise in machine learning and statistical modelling, with proven impact in areas like personalisation, churn, pricing, and optimisation.

Learning + Grow: Twice-yearly development chats and yearly performance reviews; learning budget; upskilling with company-wide training workshops. You’ll partner closely with product, engineering, and machine learning to deliver insights, drive experimentation, and shape the future of Depop’s pro

We welcome applicants from all backgrounds who are passionate about learning and contributing to our mission.

Advanced Modeling: Design, train, and implement advanced Machine Learning (ML) and Deep Learning (DL) models to solve complex business planning and forecasting problems. Hands-on GenAI experience: Practical experience working with LLM APIs, prompt engineering, and fine‑tuning open‑source modelsS

Proficiency in programming languages such as Python and familiarity with machine learning libraries and frameworks.