Overview Postgraduate study in AI and Machine Learning at UCL - scholarships available. UCL Computer Science offers a prestigious education from world renowned experts. Ranked 9th globally (QS World University Rankings 2025) and named The Times and Sunday Times University of the Year 2024, UCL Computer Science provides high quality programmes in AI and ML. With a reputation for … leading edge research, UCL Computer Science is ranked first in England and second in the UK for research power in Computer Science and Informatics (REF 2021). Why study AI and Machine Learning at UCL Computer Science UCL is a powerhouse in Artificial Intelligence (AI) and Machine Learning (ML), renowned for shaping some of the field's … Research led teaching Our Master's programmes are grounded in world leading research in AI and ML. You'll learn from leading academic experts at the forefront of computer science research and innovation. Real world experience Develop your skills and knowledge in practical settings through an academic led substantial research project. Our portfolio of projects includes academic led research More ❯
Quantitative Power Analyst (Data Scientist) Short Term Intraday Stack Models Power Trading London We are working with one of the UK’s leading power generation companies - generating 10–15% of the UK’s electricity - with sites across the UK, Ireland, and Germany. As they scale from 3.5 GW to 7 GW of generation and add 500 MW of battery … storage, they're building out their datascience capability on the trading floor. We are seeking a highly motivated Quantitative Power Analyst to join our trading team. This role is focused on short-term power markets and sits at the intersection of trading, quantitative analysis, and data-driven modelling. Top Three Focus Areas Developing algorithms for asset … ensuring models are commercially relevant and impactful. Build intraday trading tools and collaborate on automated strategies Apply time series and fundamentals-based modelling to support trading decisions Work alongside data engineers to deploy production-grade code Mentor others and help embed datascience best practices across the team What we're looking for Strong quantitative background; Master More ❯
Quantitative Power Analyst (Data Scientist) Short Term Intraday Stack Models Power Trading London We are working with one of the UK’s leading power generation companies - generating 10–15% of the UK’s electricity - with sites across the UK, Ireland, and Germany. As they scale from 3.5 GW to 7 GW of generation and add 500 MW of battery … storage, they're building out their datascience capability on the trading floor. We are seeking a highly motivated Quantitative Power Analyst to join our trading team. This role is focused on short-term power markets and sits at the intersection of trading, quantitative analysis, and data-driven modelling. Top Three Focus Areas Developing algorithms for asset … ensuring models are commercially relevant and impactful. Build intraday trading tools and collaborate on automated strategies Apply time series and fundamentals-based modelling to support trading decisions Work alongside data engineers to deploy production-grade code Mentor others and help embed datascience best practices across the team What we're looking for Strong quantitative background; Master More ❯
line-height:(phone number removed);list-style-type:disc;color:#(phone number removed);background-color:transparent;font-family:Arial;font-size:10pt;font-weight:normal;font-style:normal} Data Analytics Lead Salary £60,000 - £82,500 | DOE | London Working with a leading ethical consultancy operating in complex global environments, helping clients navigate fragile settings through trust, transformative change … and ten end-to-end services spanning the full programme and project cycle. We are seeking a Data Analytics Lead to provide technical expertise, integrate analytics across programmes, and deliver standalone data-science and software projects worldwide. The role also supports organisational growth through project delivery, business development, and knowledge-sharing, collaborating closely with leadership to design … projects and build strategic partnerships. Key Responsibilities: Lead Data Analytics (DA) bids, with particular focus on Monitoring, Evaluation, and Learning (MEL), for clients including Foreign, Commonwealth and Development Office (FCDO) and UK government partners. Develop innovative methodologies to address national security, humanitarian assistance, climate security, and conflict fragility. Engage clients, partners, and internal stakeholders to showcase DA capabilities and More ❯
Senior Data Scientist x2/3 days a week in the office About the Role & Company This is a leadership opportunity at a fast-scaling AI consultancy known for its technical excellence and track record in delivering real-world impact across some of the most important companies globally. The team helps major clients in the Retail sector apply cutting … edge datascience in complex operational environments, balancing innovation with reliability and rigour. You’ll join a deeply technical, collaborative group working on custom AI and machine learning solutions that support automation, forecasting, and decision intelligence. The focus is on strategic value creation: solving ambiguous problems with clarity, and delivering tools that embed into the heart of client … systems. What You’ll Be Doing Set the technical direction on multi-disciplinary datascience & AI projects, from approach selection to architecture design Take ownership of full solution pipelines, leading hands-on development and supporting others to do the same Work closely with senior client stakeholders to shape project scope, track value delivery, and communicate findings Oversee a More ❯
Your New Role We're looking for a Senior Data Scientist to lead the development and application of advanced analytics and machine learning techniques that answer complex business questions and drive strategic decisions. You'll work closely with data engineering and business teams to design models and analytical solutions that improve customer experience, optimise operations, and support financial … and strategic planning.This role combines technical expertise with leadership responsibilities, including mentoring analysts and engineers, translating insights into actionable recommendations, and ensuring datascience practices align with organisational goals. Key Responsibilities Customer Insights: Build churn prediction models, apply clustering and segmentation, and use NLP for sentiment analysis to improve service quality and retention strategies. Operational Performance: Develop forecasting … models, profitability analysis, and scenario modelling to guide investment and regulatory decisions. Geospatial Analytics: Apply spatial modelling and visualisation techniques to support network planning, operational assessments, and customer analysis. DataScience Leadership: Mentor team members, present insights clearly to technical and non-technical audiences, and ensure best practices in analytical workflows. Technical Delivery: Engineer and optimise analytical and More ❯
Nottingham, Nottinghamshire, United Kingdom Hybrid/Remote Options
Capital One (Europe) plc
About this role Our DataScience team focuses on the development of Machine Learning and Deep Learning solutions to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus … on feature engineering and insight generation from new types of data and the development of machine learning models to address critical business challenges in underwriting. What you'll do Develop and maintain the machine learning models which define our competitive advantage in the financial services market. Explore and evaluate data, using advanced feature generation and categorisation techniques, in … order to stay at the forefront of innovation. Analyse tabular and non-tabular data, such as text, logs, or time series, to produce powerful new insights. Consult on complex statistical test design, to efficiently learn our way into new areas of the market. Use a combination of business acumen, coding and statistical skills to navigate large amounts of dataMore ❯
development. Job Description We have an excellent opportunity for a motivated and ambitious individual to join our join and work to improve the profitability of the company through new data sources and advanced modelling techniques. This role is an end-to-end datascience role spanning the entire AI lifecycle from ideation through to production deployment of … models as well as measuring benefit via A/B testing What you'll do: Collaborate with business partners to enhance processes using new data and sophisticated ML techniques. Manage projects from inception to deployment, including benefit assessment. Uphold and improve standards for code quality, R&D, and model development. Collaborate with DevOps and Data Engineers to deploy … improved customer experiences. You thrive in working autonomously to drive impact in a fast-paced cross-functional business. PhD or MSc or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Able to work independently and efficiently to More ❯
you'll better engage, inform, and support customers facing financial difficulties. Collaboration is key at Zopa. You'll work closely with cross functional teams including operations, product, engineering, and datascience to develop and drive engagement strategies, influence strategic decisions, and identify opportunities to enhance customer outcomes through cutting edge analytical techniques. We look for bright individuals with … team that covers a broad remit across credit and customer outcomes, considering engagement, information, solutions, regulations and customer experience. You work in a wider cross functional product, credit, and datascience team, interacting closely with operations, so you will have the opportunity to work alongside, learn from and mentor some of the brightest minds and friendliest people in … the industry! You work with large datasets and some of the best tech in the industry, such as powerful Python instances for data analysis and Redshift for data warehousing. You will have the opportunity to mentor junior team members, fostering their growth and development within the team. Projects our Senior Analysts currently manage include Optimising collections strategy across More ❯
Job summary We are seeking an exceptional Head of Data Insights to drive our Trust's strategy, harnessing the power of agile development, advanced analytics, and robust evaluation to deliver real-time, actionable insights for staff across the organisation. As the Head of Data Insights, you will oversee the development and management of complex data systems, lead … agile teams, and champion the use of datascience and AI. You'll work closely with senior leaders, clinicians, and external partners to ensure our data platforms are responsive, secure, and support continuous improvement in patient care and operational efficiency. Main duties of the job o Lead the development and ongoing management of the Trust's cloud … data platform, ensuring accurate, timely, and automated information delivery.o Oversee statutory dataset submissions, contractual returns, and financial feeds, acting as the technical lead for complex data vehicles.o Drive the Trust's analytics provision, coaching senior leaders and building capacity for data-driven change.o Develop and implement qualitative and quantitative evaluation methods, working with change programme leaders and More ❯
Leeds, Yorkshire, United Kingdom Hybrid/Remote Options
Fruition Group
Job Title: Senior Analytics Engineer/Data Modeller Location: Hybrid - Leeds Salary: £70,000 - £90,000 (Dependant upon experience) + Benefits Why Apply? This permanent Senior Analytics Engineer/Data Modeller role offers the chance to make a significant impact within an innovative, tech-driven organisation. You'll work at the forefront of data modelling, analytics engineering … and AI-enablement, helping shape scalable data products that power enterprise reporting, machine learning, and self-service insights. Senior Analytics Engineer/Data Modeller Responsibilities Design, build, and maintain analytical and AI-ready data marts sourced from the enterprise data lakehouse. Develop semantic models and dimensional structures optimised for BI, dashboarding, and machine learning. Ensure documentation … governance, and data consistency across domains. Collaborate with data engineers to support robust ETL/ELT pipelines and maintain end-to-end data lineage. Deploy analytics engineering solutions using dbt, SQL transformations, and CI/CD best practice. Partner with analysts and data scientists to deliver performant and reliable datasets. Implement data quality monitoring, validation More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Tenth Revolution Group
Databricks Engineer - £400PD - Remote About the Role We are seeking a highly skilled Azure Data Engineer with deep, hands-on Databricks experience to join our growing data engineering team. In this role, you will design, build, and optimise scalable data pipelines and lakehouse architectures on Azure, enabling advanced analytics and data-driven decision making across the … business. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake. Build and optimise data lakehouse architectures on Azure Data Lake Storage ( ADLS ) . Develop high-performance data solutions using Azure Synapse, Azure Data Factory, and Databricksworkflows Implement best practices for data governance, security, and quality across all … pipelines. Collaborate with data scientists, analysts, and cross-functional teams to deliver reliable, production-grade data models. Monitor and tune pipeline performance to ensure efficiency, reliability, and cost optimisation. Participate in CI/CD processes and infrastructure-as-code solutions using tools like Terraform, GitHub Actions, or Azure DevOps Required Skills & Experience 3+ years' experience as a DataMore ❯
Role summary: As a Principal Data Scientist (individual contributor), you will play a hands-on role in designing, building, and deploying scalable AI solutions that go beyond prototypes and are actively used in production. You'll work closely with collaborative teams to co-develop innovative products for financial markets and professionals.We're looking for someone who combines deep technical … Skills Familiarity with DevOps practices including CI/CD, version control, automated testing, and monitoring to support reliable model deployment and maintenance. Education Bachelor's degree in Engineering, Computer Science, DataScience, Statistics, Mathematics, Physics or a related field, or equivalent practical experience. What you'll get in return: High-impact projects : Work on innovative AI products … ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of More ❯
United Kingdom, Wolstanton, Staffordshire Hybrid/Remote Options
Uniting Ambition
Artificial Intelligence Engineer (DataScience & ML focus) Remote working with occasional meet-ups £50,000-£60,000 Join us in building cutting edge AI applications, unlocking the full potential of AI within commerce. It's new, it's exciting and it's an opportunity to work with some incredible talent in this space. The role The role is … building AI applications based on LLM and models such as GPT and BERT You'll make use of Python programming, Pyspark, tensorflow, HuggingFace, LangChain, RAG techniques, interfacing with diverse data sets. Cloud data platforms and a diverse set of tools for AI app deployment. The opportunity Work at the forefront of the industry. It's exciting, competitive, fast … Azure/AWS/GCP) . Some of the following - Pytorch, GPT/BERT, RAG, Apache Airflow, Power Automate, Azure logic apps, RPA/Zapier, HuggingFace, LangChain... Background in DataScience or Software Engineering The values and ethos of this business Innovation with real purpose and for real results Support one another - pull together and be helpful We More ❯
wet lab experiments weekly-and massive computational scale-owning and operating one of the most powerful supercomputers in the world-Recursion is uniting technology, biology, chemistry and patient-centric data to advance the future of medicine. In this role, you will: Build, scale, and operate a data platform. You will be a member of the platform team responsible … for building, operating, and tuning a data platform that allows users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions compounds, petabytes of cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion's drug discovery. Build relatability into a … heterogeneous dataset. At Recursion, we generate datasets based on a wide swath of diverse biological models and treatment approaches. You'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet. More ❯
Nottingham, Nottinghamshire, England, United Kingdom Hybrid/Remote Options
Recruiit
business for a Senior Machine Learning Pricing Analyst to join a thriving team. You will use machine learning and AI-driven analytics through Snowflake to analyse sales and pricing data, and identify lost customer opportunities, and develop strategies to increase sales and profitability. This role combines datascience and commercial analysis to assist the business to drive … growth and profitability. Key Areas of the Role: Analyse sales and customer data to identify commercial patterns. Develop and maintain AI/ML models (via Snowflake) that predict customer conversion success. Collaborate with sales, pricing, and commercial teams to develop data-informed pricing strategies. Identify customer segments or pricing bands where win rates are below expectations and propose … improvements. Visualise data and findings through clear dashboards via Power BI and/or Tableau. Present insights and recommendations to senior leadership with a commercial focus. Continuously evaluate and improve analytical methods using the latest AI and datascience tools. The ideal candidate will have hands-on experience applying and deploying machine learning and AI tools like More ❯
Databricks Engineer - £400PD - Remote About the Role We are seeking a highly skilled Azure Data Engineer with deep, hands-on Databricks experience to join our growing data engineering team. In this role, you will design, build, and optimise scalable data pipelines and lakehouse architectures on Azure, enabling advanced analytics and data-driven decision making across the … business. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake. Build and optimise data lakehouse architectures on Azure Data Lake Storage ( ADLS ) . Develop high-performance data solutions using Azure Synapse, Azure Data Factory, and Databricks workflows Implement best practices for data governance, security, and quality across … all pipelines. Collaborate with data scientists, analysts, and cross-functional teams to deliver reliable, production-grade data models. Monitor and tune pipeline performance to ensure efficiency, reliability, and cost optimisation. Participate in CI/CD processes and infrastructure-as-code solutions using tools like Terraform, GitHub Actions, or Azure DevOps Required Skills & Experience 3+ years' experience as a More ❯
the forefront of the shift from traditional low-code to intelligent business applications empowering fusion teams to deliver faster, smarter, and more impactful outcomes. The Role Are you a data enthusiast with a passion for transforming raw information into meaningful insights? We’re looking for a talented Fabric/Data Consultant with expertise in Azure and Power BI … to join our dynamic team. This role is perfect for someone who enjoys working with cutting-edge technology, developing robust data architectures, and driving strategic business intelligence initiatives. If you're excited about helping organizations unlock the full potential of their data, we’d love to hear from you. Essential Expertise: Proven experience in data engineering with … exposure to Azure Synapse or Azure Data Factory or Databricks. Familiarity with Microsoft Fabric or a strong willingness to learn and adapt to its ecosystem. Proficiency in Python programming with a focus on data manipulation and engineering. A genuine interest in datascience and a drive to expand your skillset into predictive analytics, machine learning, or More ❯
views and values of everyday Britons while delivering independent news that challenges the status quo. As we accelerate our membership growth and deepen audience engagement, we're expanding our data and insights capabilities to better understand, serve, and grow our audience community. Role Overview We're looking for a strategic and data-savvy Director of Customer & Audience Insights … understanding of who our users are, what they value, and how we can serve them better. This is a highly cross-functional leadership role - sitting at the intersection of datascience, marketing, product, and editorial . You'll oversee customer segmentation, behavioral analytics, retention modeling, and strategic research, translating complex data into actionable insight to fuel decision … and maximize customer lifetime value. Key Responsibilities Lead GB News' customer and audience insight function, developing a deep understanding of viewer behavior, member value, and user journeys. Partner with DataScience and Analytics to design and implement models around segmentation, churn risk, LTV, engagement scoring, and conversion likelihood. Guide research and analysis to support marketing, content, and product More ❯
SC Clearance. Join a European leader in AI-driven technology, delivering innovative surveillance solutions that enhance safety and save lives. They provide cutting-edge services combining real-time intelligence, data, and AI to transform operational outcomes globally. About the Role We are seeking an MLOps Engineer to manage and optimise the machine learning lifecycle, from development to deployment and … monitoring. You will work closely with data scientists, software engineers, and IT teams to ensure seamless, scalable, and reliable machine learning solutions in production environments. Key Responsibilities - Pipeline Development: Build and maintain scalable ML pipelines automating training, testing, deployment, and monitoring. - Model Deployment: Collaborate with data scientists to deploy ML models securely and reliably. - CI/CD Integration … deployed models with automated monitoring, logging, and alerting. - Collaboration: Work with cross-functional teams to deliver solutions that meet technical and business requirements. - Security & Governance: Implement best practices for data security, model governance, and compliance. - Documentation & Innovation: Maintain clear documentation and stay updated on MLOps trends and technologies. Profile & Requirements - Bachelor’s or Master’s in Computer ScienceMore ❯
A leading (Re)insurance firm is looking to hire a Data Scientist to join their growing AI & DataScience function. You will play a key role in transforming advanced insights and market intelligence into strategies that protect businesses and drive performance. You will partner with specialists in software engineering, visualisation, and design, applying datascienceMore ❯
Manchester Area, United Kingdom Hybrid/Remote Options
ConnexAI
Role: Data Scientist (LLMs) Location: Manchester, UK (Hybrid – 3 days in the office) Build the Future of AI-Powered Communication We’re looking for a Data Scientist to join our growing LLM team, building production-ready large language models that power real enterprise applications. You’ll help train models, create datasets, and push performance boundaries in a fast … and conversational quality. Collaborate with engineers and researchers to apply new ideas from the latest LLM and ML research. What We’re Looking For MSc or PhD in Computer Science, DataScience, Mathematics, Physics, or a related field. Strong Python skills (pandas, NumPy, scikit-learn, PyTorch). Curiosity, rigour, and drive to improve model performance. Why Join More ❯
Lead the architecture and design of AI solutions. Work closely with clients to understand their business challenges and translate these into effective AI strategies. Collaborate with software engineers and data scientists to drive the full lifecycle of AI solutions from concept and architecture to production deployment. Ensure that AI solutions are scalable, maintainable, and adhere to security best practices. … the team. Requirements Proven experience as a Solutions Architect or in a similar role with a strong focus on AI and machine learning. Solid understanding of machine learning algorithms, data structures, and statistical modelling. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Strong programming skills in languages such as Python, Java, or Scala. Strong … articulate technical concepts to non-technical stakeholders. Any experience around AWS Bedrock, Google Vertex, AI Studio would be preferable. Experience around leading teams and engagements. A degree in Computer Science, DataScience, or a related field; advanced degrees are preferred. Benefits About Digiterre Digiterre is a software and data engineering consultancy that enables technological and organisational More ❯
has big ambitions but needs more excellent minds to challenge the status-quo and help it reach new horizons. Where you come in? You'll be joining the Portfolio Data squad to tackle some of the most critical challenges in transforming how we manage insurance exposure and risk aggregations. The current data estate is siloed, inefficient, and difficult … to scale, so the team is designing a robust solution to support seamless data ingestion, scalable storage, and optimise for downstream use cases, including developing our algorithmic underwriting capability. Alongside this, the squad is building a trusted source of truth for insurance exposure data — aligning methodologies with the Exposure Management team and delivering intuitive, high-value views and … dashboards for Portfolio Management. By joining us, you'll help modernize our data landscape, eliminate manual and unreliable processes, and empower the business with faster, smarter, and more reliable insights. What you will be doing: • Work with actuaries, data scientists and engineers to design, build, optimise and maintain production grade data pipelines to feed the Ki algorithm More ❯
friends to earn cash for qualified referrals! Based on your profile and our current needs, our recruitment team will contact you. Open Jobs Jun ID Job Title Job Description Data Architect Yakshna Solutions, Inc (YSI) is a CMMI Level 3 assessed, ISO 9001, 20000:1, 27001 certified, woman-owned small business based in Herndon, Virginia. YSI provides professional IT … offering innovative, quality, and cost-effective solutions. Benefits include: 401(k), health, dental, vision insurance, life insurance, disability coverage, paid time off, and professional development support. Job Responsibilities: Develop data warehousing blueprints, evaluate hardware/software platforms, and integrate systems. Assess reusability of current data for analysis. Design data warehouses, including data design, database architecture, and … metadata management. Build relational databases, perform data access analysis, and design archive/recovery processes. Review and develop object/data models and metadata repositories for better data management. Knowledge of cybersecurity, privacy principles, networking, protocols, and risk management is required. Maintain databases and optimize performance. Understand database management systems, query languages, and data warehousing principles. More ❯