226 to 250 of 4,327 Data Science Jobs in London

projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. The Role: We are looking for an experienced Senior Data Engineer to join our team here at Solirius. You will be working as part of a team, developing and delivering exciting projects with a fantastic team of technology experts. … You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. About you: Our team is our strongest asset, you will be an excellent team player who recognises the strength … Strong interpersonal and team working skills Self motivated, enthusiastic and committed The ideal candidates will share our values and be aligned with our ways of working Key Responsibilities: Develop Data Engineering solutions for our clients/projects Design and build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various More ❯

Join to apply for the Data Engineer role at MEDDICC Join to apply for the Data Engineer role at MEDDICC About MEDDICC ️ We’re a high-performing team brought together by the ambition to build something extraordinary. Read in full - don't ‘just apply’. About MEDDICC ️ We’re a high-performing team brought together by the ambition … how you identify, if you believe you can do the job and are a good match, we encourage you to apply. We are looking for We're hiring a Data Engineer to design the backbone of our AI and analytics systems—scalable, reliable, and intelligent data infrastructure. This is more than just pipeline work—it’s an opportunity … to shape how data flows, fuels ML, and drives product innovation at scale. How We Will Measure Success We’re hiring for impact. This isn’t a role for someone who just wants to “move data around” - it’s for someone who wants to move the needle. You’ll be measured on the core growth metrics that matter More ❯

that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Job Description Role Overview The Lead Data Scientist is responsible for developing and deploying advanced AI/ML models, leveraging statistical techniques, machine learning, and deep learning to extract actionable insights. This role requires strong expertise … in Python-based AI/ML development, big data processing, and cloud-based AI platforms (Databricks, Azure ML, AWS SageMaker, GCP Vertex AI). Key Responsibilities Data Exploration & Feature Engineering Perform thorough Exploratory Data Analysis (EDA) and identify key variables, patterns, and anomalies. Engineer and select features for optimal model performance, leveraging domain understanding. Machine Learning & Statistical … or SageMaker Pipelines. Monitor model performance over time and manage retraining to mitigate drift. Business Insights & Decision Support Communicate analytical findings to key stakeholders in clear, actionable terms. Provide data-driven guidance to inform product strategies and business initiatives. Ethical AI & Governance Ensure compliance with regulations (GDPR) and implement bias mitigation. Employ model explainability methods (SHAP, LIME) and adopt More ❯

Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the … you have a desire to make a major contribution to the future, in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a highly motivated Data Scientist to help build scalable, predictive and prescriptive business analytics solutions that supports AWS Supply Chain and Procurement organization. You will be part of the Supply Chain Analytics team … working with Global Stakeholders, Data Engineers, Business Intelligence Engineers and Business Analysts to achieve our goals. We are seeking an innovative and technically strong data scientist with a background in optimization, machine learning, and statistical modeling/analysis. This role requires a team member to have strong quantitative modeling skills and the ability to apply optimization/statistical More ❯

money is spent. We drive forward improved outcomes and efficiency in public services and make sure value for money is at the centre of decision-making through better evaluation, data and analysis. We advise on overall government policy on public sector pay and pensions, the biggest single driver of public spending.We collaborate with and directly support departments to deliver … Reference Modelto share, improve and drive efficiency in the delivery of finance services. NOVA contains a full suite of functional design artefacts—Processes, KPIs, Business Glossary and a comprehensive Data Dictionary—to be adopted by all government organisations through the delivery of shared services and back-office systems. We are committed to enhancing finance performance by supporting the adoption … of the NOVA finance functional design and its data standards. Driving up finance data maturity, improving data architecture, and creating data integration solutions are central to our GFF 2030 Strategy and ambition for an Insightful and Data Driven finance function. The seventeen-person team works across a wide range of partners, providing the individual with More ❯

Data Scientist – Data Science Analytics and Enablement (DSAE) United Kingdom, London Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles … explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Role Overview: Our Data Science Analytics and Enablement (DSAE) team inspires PlayStation to make impactful, customer centric decisions through flawless integration of data. Currently there are over 100 people in the global … DSAE team, including data science, data governance and analytics professionals. We work closely with engineering and product management teams to deliver data products, insight, predictive analytics, and data visualisation. Data Scientists in the DSAE team apply sophisticated analytical methods and tools to drive value from the data through methods such as customer segmentation More ❯

Curve is a next-gen insights, analytics and technology consultancy that leverages digital consumer data and advanced technology to help businesses unlock consumer opportunities. Digital consumer data is powerful; it's big, it's real, and it's always updating. We use a combination of in-house technology and bespoke solutions, powered by AI, to transform data … machine learning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other patterns from large text-based data sets, and deploying state-of-the-art AI to automate and empower consumer facing businesses and their insights & analytics functions Marketing Data Science & Personalisation : using first party … consumer data to understand each client's consumer base, building personalisation and other machine learning models to better engage with and excite consumers Data Engineering & Data Architecture : data engineering across a variety of tools to integrate these leading technologies into optimised and efficient data models and ecosystems, feeding into best-in-class analytics dashboards, marketing More ❯

across countries, channels, and categories and to scale at pace. About the role We are seeking a talented Lead Business Intelligence Analyst to join our Analytics team within the Data department. This role will have line management responsibilities, and will be responsible for leading the delivery of Business Intelligence across the company. The successful candidate will play a pivotal … role in ensuring that we have the right data, visualisations, insights, and analytics to support the growth of our business. As Lead BI Analyst you will Lead the development and delivery of our Business Intelligence strategy Develop and maintain key BI metrics, dashboards and reports that provide insights across Digital, Finance, Commercial, Supply Chain and other core areas Provide … the business, by imparting knowledge and/or upskilling colleagues on all that is possible through our tools Provide mentorship and coaching to the BI team Work closely with Data Engineering, Customer Insights Data Science and Product Management teams to ensure alignment and collaboration Manage relationships with key stakeholders across the business Who you will work with More ❯

Partners, delivering truly cutting edge AI-driven solutions. If you want to future proof your tech career, this is the move! Need some convincing? ✅ Azure Expert MSP, Azure and Data +AI Solutions Partner with 15 Advanced Specialisations ✅ 21% YoY recurring revenue growth ✅ Top 10 "Best Tech companies to work for" in the UK ✅ Chief AI Officer who has worked … solutions. Design, develop, and deploy AI models and algorithms tailored to client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and pre-processing to prepare datasets for AI model training. Implement AI models into production environments and optimize their performance. Monitor and evaluate AI models, making necessary improvements … based on real-world performance. Deliver training and support to clients on AI tools, best practices, and deployment strategies. Stay up to date with the latest advancements in AI, data science, and cloud technologies. Skills & Experience Required ✅ Proven experience in AI and machine learning, with a strong portfolio of successful projects. ✅ Proficiency in programming languages such as Python More ❯

across the digital asset ecosystem. People and technology are at the core of everything we do. We are looking for an experienced Quantitative Research Engineer to work on our data and research platforms and partner closely with our quantitative researchers to enable and enhance their research productivity. In this role, you will apply your expertise in engineering and data science to develop essential and innovative tools, systems, and methodologies that streamline the research process, improve data analysis and simulation capabilities, and drive research efficiencies. This role requires a strong technical background, excellent problem-solving skills, and the ability to work closely with cross-functional teams. Key Responsibilities : Collaborate with quantitative researchers to understand their workflow, challenges … requirements, and provide technical solutions to improve their research productivity Design, develop, and maintain software tools, platforms, and frameworks that enhance the efficiency and effectiveness of research activities, including data gathering, preprocessing, analysis, and model development Identify and implement advanced data processing techniques, algorithms, and statistical methods to optimize research workflows and enhance data analysis capabilities Leverage More ❯

an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯

an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯

user base. The role is to define and set up a greenfield standardized MLOps framework for capital markets and set up all the tools and best practices to educate data scientists and equip them with the right tools and expertise. You MUST be hands on. A strong understanding of Devops, Machine learning and Data engineering is required to … such, you will gain exposure to lots of different business areas and business stakeholders, so relationship building and good communication will be key. You will bring a expertise in data science or data engineering, with a specific focus on MLOps for at least 2 years . This platform is critical and will be rolled out across the … that handle very large datasets. You will be responsible for building out a greenfield standaridised framework for Capital markets. The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best More ❯

for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. What You Will Do Work closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving Design, build and test data pipelines for machine learning that are reliable … scalable and easily deployable Explore and manipulate 3D point cloud & mesh data Own the delivery of technical workstreams Create analytics environments and resources in the cloud or on premise, spanning data engineering and science Identify the best libraries, frameworks and tools for a given task, make product design decisions to set us up for success Work at … the intersection of data science and software engineering to translate the results of our R&D and projects into re-usable libraries, tooling and products Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption What You Bring To The Table Experience applying Machine learning methods (including 3D graph/point cloud More ❯

prototype implementations to robust production-grade implementation of models Explore distributed training architectures and federated learning capacity Create analytics environments and resources in the cloud or on-premise, spanning data engineering and science Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success Work at the intersection of data science … products Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption What you bring to the table Enthusiasm about using machine learning for science and engineering, and especially in scaling such solutions to real-world settings Degree (Master's/Doctorate) in computer science, software engineering or equivalent Experience scaling ML models … both in compute and data storage Federated learning experience is a bonus 1+ year of experience in a data-driven role, with exposure to: Software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., PyTorch, MLFlow, JAX) Distributed computing More ❯

user base. The role is to define and set up a greenfield standardized MLOps framework for capital markets and set up all the tools and best practices to educate data scientists and equip them with the right tools and expertise. You MUST be hands on. A strong understanding of Devops, Machine learning and Data engineering is required to … such, you will gain exposure to lots of different business areas and business stakeholders, so relationship building and good communication will be key. You will bring a expertise in data science or data engineering, with a specific focus on MLOps for at least 2 years . This platform is critical and will be rolled out across the … that handle very large datasets. You will be responsible for building out a greenfield standaridised framework for Capital markets. The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best More ❯

user base. The role is to define and set up a greenfield standardized MLOps framework for capital markets and set up all the tools and best practices to educate data scientists and equip them with the right tools and expertise. You MUST be hands on. A strong understanding of Devops, Machine learning and Data engineering is required to … such, you will gain exposure to lots of different business areas and business stakeholders, so relationship building and good communication will be key. You will bring a expertise in data science or data engineering, with a specific focus on MLOps for at least 2 years . This platform is critical and will be rolled out across the … that handle very large datasets. You will be responsible for building out a greenfield standaridised framework for Capital markets. The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best More ❯

AI Analyst provides vital analytical support to both the AI Operations Manager and Applied AI Consultant. This role serves as the analytical backbone for AI initiatives, gathering and analysing data, conducting research, preparing reports, presentations and assisting with implementation and monitoring of AI solutions. A critical responsibility includes maintaining compliance documentation, particularly AI Use Case and AI Product Inventories … while applying process improvement tools to enhance efficiency. This role addresses defined analytical problems, data preparation challenges, documentation organisation needs, basic process analysis tasks, and engages in supervised problem-solving activities. Required experience, skills, and attributes Core Responsibilities Support strategic AI initiatives and implementation work across the organisation Maintain compliance documentation, including AI Use Case and AI Product Inventories … Assist with process improvement activities using basic DMAIC methodology Collect, clean, and analyse data to support AI project decision-making Prepare reports and visualisations to communicate findings to stakeholders Conduct research on AI trends, technologies, and best practices Monitor performance of implemented AI solutions and identify improvement opportunities Provide general analytical support to the AI team Handle administrative and More ❯

s why good things happen when you meerkat. We’d love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning, and will identify the tech requirements to productionise automated, scalable and stable … makes you great for this role. Some of the great things you’ll be doing: Develop, maintain, monitor (health & performance) and optimise integrated Machine Learning products Work closely with Data Engineering, Platform and Architecture teams to improve and develop new products, integrations, tools and technologies Work with data scientists to productionise various ML models, making sure the code … standards Follow best practice for the management and interrogation of large scale ‘structured’ and ‘unstructured’ datasets (million+ rows with thousand+ features, policy documents, etc) Enable the collection of new data and the refinement of existing data sources. Help manage day to day operations of the Data Science & Analytics platform (Databricks), and other ML Solutions built & operated More ❯

Company Description Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in end-to-end transformation. As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team … best practices, ensuring delivery of scalable and efficient solutions. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and … ensuring that coding, security and CI/CD best practices are followed. Communicate and present findings and recommendations to stakeholders and customers using tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages More ❯

Job Title: Machine Learning Engineer Location: London (1 days per week onsite) – Flexible Salary: £45,000 DOE + Benefits Our Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Engineer to join one our offices with hybrid or remote UK working. This is an exciting role and would most … also provide wider ranging support to insurance companies in the life and bulk annuities sector. The Team The client is a specialist and multi-disciplinary team consisting of actuaries, data scientist and developers. Our role in this mission is to pioneer advancements in the field of pensions and beyond, leveraging state-of-the-art technology to extract valuable and … for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Data Management and Preprocessing. Collect, clean and preprocess large datasets to facilitate More ❯

Job Title: Machine Learning Engineer Location: London (1 days per week onsite) - Flexible Salary: £45,000 DOE + Benefits Our Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Engineer to join one our offices with hybrid or remote UK working. This is an exciting role and would most … also provide wider ranging support to insurance companies in the life and bulk annuities sector. The Team The client is a specialist and multi-disciplinary team consisting of actuaries, data scientist and developers. Our role in this mission is to pioneer advancements in the field of pensions and beyond, leveraging state-of-the-art technology to extract valuable and … for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Data Management and Preprocessing. Collect, clean and preprocess large datasets to facilitate More ❯

of this our success and help drive our limitless ambitions. About the role We are seeking a talented Lead Business Intelligence Analyst to join our Analytics team within the Data department. This role will have line management responsibilities, and will be responsible for leading the delivery of Business Intelligence across the company. The successful candidate will play a pivotal … role in ensuring that we have the right data, visualisations, insights, and analytics to support the growth of our business. As Lead BI Analyst you will Lead the development and delivery of our Business Intelligence strategy Develop and maintain key BI metrics, dashboards and reports that provide insights across Digital, Finance, Commercial, Supply Chain and other core areas Provide … the business, by imparting knowledge and/or upskilling colleagues on all that is possible through our tools Provide mentorship and coaching to the BI team Work closely with Data Engineering, Customer Insights Data Science and Product Management teams to ensure alignment and collaboration Manage relationships with key stakeholders across the business Who you will work with More ❯

ahead. Join us at the heart of trust. As an Analytics Engineer at Trustpilot, you'll be a crucial bridge between our business and technical teams, directly influencing Analytics, Data Science, Data Engineering, and Product. You'll leverage our cutting-edge modern data stack to expand and enhance our data warehouse, empowering data-driven … decisions across the organisation. This role offers the exciting opportunity to shape our data landscape and contribute to innovative analytics solutions. What You’ll Be Doing Maintain and evolve our data warehouse and business intelligence tool, providing reliable data access to users throughout Trustpilot Design, build, maintain, and rigorously monitor robust data pipelines and transformative models … using our modern data stack, including GCP, Airflow, dbt, and potentially emerging technologies like real-time streaming platforms Develop and manage reverse ETL processes to seamlessly integrate data with our commercial systems, ensuring operational efficiency Maintain and optimise our Customer Data Platform (CDP, ensuring effective data collection, unification, and routing Administer and support our business intelligence More ❯

VOLUNTEERING ROLE Role Nature: Volunteer Location: Home-based The Blockchain & Climate Institute (BCI) is an international volunteers-led think tank supporting and advocating the application of blockchain and other data technologies in the global fight against climate change. THIS IS AN UNPAID VOLUNTEERING ROLE Role Title: Principal Technology Officer (PTO) – Distributed Ledger Technology (DLT) Role Nature: Volunteer Location: Home … based The Blockchain & Climate Institute (BCI) is an international volunteers-led think tank supporting and advocating the application of blockchain and other data technologies in the global fight against climate change. What will you be doing? We are looking for a passionate VOLUNTEER who takes a methodological approach to their work, conducts independent research and analysis, engages with key … provide strategic and technical leadership for DLT/Blockchain technology across all BCI projects. You will oversee and implement DLT/Blockchain technology (in combination with AI, Machine Learning, Data Science, Data Modelling and associated tooling) for technology research, standards and climate action. You will perform research, onboard and train other team members, execute proof of concepts More ❯