301 to 325 of 535 Data Science Jobs in Central London

Start ASAP | Outside IR35 To apply, email: jordanna.ramsey@searchability.com THE OPPORTUNITY A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You’ll be part of a highly skilled R&D team building next-generation … time insights, performance optimisation, and immersive sports analytics. THE ROLE Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. Optimise AI systems for real-time environments, integrating with live data feeds and … deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment in production environments Preferred: Sports data analytics, time-series forecasting, or computer vision experience Infrastructure: AWS/GCP/Azure, Docker, Kubernetes, MLflow, CI/CD pipelines Bonus: Experience with wearable/sensor data More ❯

tuned LLM. The next step is scaling the organisation as they look to move towards their Series A. Please only apply if you have a Masters + in Computer Science What you’ll do Build and fine-tune AI models (LLMs and transformer-based architectures). Work directly with customers to integrate and test new features. Develop and improve … agent framework. Gather and act on client feedback to enhance product performance. Take part in design and architecture discussions. About you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools More ❯

tuned LLM. The next step is scaling the organisation as they look to move towards their Series A. Please only apply if you have a Masters + in Computer Science What you’ll do Build and fine-tune AI models (LLMs and transformer-based architectures). Work directly with customers to integrate and test new features. Develop and improve … agent framework. Gather and act on client feedback to enhance product performance. Take part in design and architecture discussions. About you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools More ❯

can be reduced to x1 day sometimes) About the Role & Company Join a large-scale, consumer-facing technology business operating across multiple markets, known for its innovation, rich user data, and commitment to ML/AI. With thousands of employees and a rapidly expanding AI/ML function, this company is investing deeply in applied machine learning to enhance … digital experiences, power intelligent automation, and unlock data-driven decision-making. As a Senior Machine Learning Engineer, you’ll be part of a cross-functional team bringing models from ideation into production, developing scalable ML systems that operate across both real-time and batch environments. You'll also help shape internal tooling and infrastructure to support rapid experimentation, reliable … deployment, and safe AI at scale. Key Responsibilities Build, deploy and maintain machine learning models as APIs, streams, and batch services Partner with Data Scientists to industrialise prototypes into production-ready applications Lead on observability, CI/CD automation, and monitoring for ML workflows Develop cloud-native infrastructure using Docker, Kubernetes, and Terraform Contribute to shared ML tooling and More ❯

someone with over 4 years of development experience who thrives in a collaborative, office-based environment. Their core software product helps leading industrial organizations enhance asset performance by applying data science and machine learning to minimize waste and boost reliability. Full Stack Developer Opportunity Location: London (Office-based, collaborative team) Salary: £55,000 - £65,000 Industry: Data … Java and Python . Collaborate on infrastructure setup and maintenance. Focus on testing, coding, and refactoring to ensure high-quality solutions. Work closely with cross-functional teams (developers, DevOps, data scientists, product managers) in an agile methodology . Their Tech Stack includes: Backend: Spring & Spring Boot, Java, Python, FastAPI Frontend: Vue.js Cloud: AWS Databases: Elasticsearch & Postgres And more... This … role offers exciting opportunities to dive into various areas, including Natural Language Processing, Random Forest and Monte Carlo Simulations, Classification, Big Data ETL Pipelines, High Volume Event Processing, Predictive Analysis, CI/CD Cloud Ops, Mentoring, UX Design, Data Visualization, and Build Management Systems . This is a brilliant opportunity to join a company at the forefront of More ❯

someone with over 4 years of development experience who thrives in a collaborative, office-based environment. Their core software product helps leading industrial organizations enhance asset performance by applying data science and machine learning to minimize waste and boost reliability. Full Stack Developer Opportunity Location: London (Office-based, collaborative team) Salary: £55,000 - £65,000 Industry: Data … Java and Python . Collaborate on infrastructure setup and maintenance. Focus on testing, coding, and refactoring to ensure high-quality solutions. Work closely with cross-functional teams (developers, DevOps, data scientists, product managers) in an agile methodology . Their Tech Stack includes: Backend: Spring & Spring Boot, Java, Python, FastAPI Frontend: Vue.js Cloud: AWS Databases: Elasticsearch & Postgres And more... This … role offers exciting opportunities to dive into various areas, including Natural Language Processing, Random Forest and Monte Carlo Simulations, Classification, Big Data ETL Pipelines, High Volume Event Processing, Predictive Analysis, CI/CD Cloud Ops, Mentoring, UX Design, Data Visualization, and Build Management Systems . This is a brilliant opportunity to join a company at the forefront of More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate … across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and … reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate … across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and … reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control More ❯

and wellbeing — with opportunities to be credited in publications or reports. Key Responsibilities Support evaluation of school pilots through surveys, focus groups, and analytics Conduct literature reviews on learning science, SEL, and digital wellbeing Assist in designing ethical data processes (consent, anonymisation, safeguarding) Analyse engagement data to uncover learning and motivation patterns Produce accessible reports for educators … and internal teams Inform product decisions with research-driven insights Optional involvement in conference posters, blogs, or academic writing Preferred Skills & Experience Background in Education, Psychology, Learning Sciences, Sociology, Data Science, or EdTech Strong understanding of research design and data ethics Ability to summarise findings clearly for both technical and non-technical audiences Familiarity with mixed-methods … and scalable AI solutions. As a UCL-backed EdTech venture, MentorMind sits at the intersection of research, technology, and social impact, bringing together expertise from education leadership, psychology, and data science. 💡 Our Mission To bridge the gap between academic achievement and wellbeing, creating a future where studying is both effective and sustainable. 🌱 Our Vision A world where every student More ❯

and wellbeing — with opportunities to be credited in publications or reports. Key Responsibilities Support evaluation of school pilots through surveys, focus groups, and analytics Conduct literature reviews on learning science, SEL, and digital wellbeing Assist in designing ethical data processes (consent, anonymisation, safeguarding) Analyse engagement data to uncover learning and motivation patterns Produce accessible reports for educators … and internal teams Inform product decisions with research-driven insights Optional involvement in conference posters, blogs, or academic writing Preferred Skills & Experience Background in Education, Psychology, Learning Sciences, Sociology, Data Science, or EdTech Strong understanding of research design and data ethics Ability to summarise findings clearly for both technical and non-technical audiences Familiarity with mixed-methods … and scalable AI solutions. As a UCL-backed EdTech venture, MentorMind sits at the intersection of research, technology, and social impact, bringing together expertise from education leadership, psychology, and data science. 💡 Our Mission To bridge the gap between academic achievement and wellbeing, creating a future where studying is both effective and sustainable. 🌱 Our Vision A world where every student More ❯

My leading financial services client are looking for a Senior Data Engineer to help develop and expand their global analytics platform, supporting their Commodities front office trading business. You'll work with business stakeholders to understand requirements, design and build robust data pipelines and deliver end-to-end analytics and ML/AI capabilities. This is a long … term contract role. The following skills/experience is essential: Strong expertise in Python, PySpark, and SQL Extensive hands-on experience with Databricks Familiarity with Data Science and Machine Learning frameworks Previously worked in Financial Services Trading environment Background in DevOps and Infrastructure as Code (IaC) Commodities industry experience is highly desirable Rate: Up to £700/day … Duration: 12 months + Location: London (good work from home options available) If you are interested in this Senior Data Engineer position and meet the above requirements please apply immediately. More ❯

Insight Global is looking for a AI Engineer for one of their premier Energy Trading clients in London, UK. The AI Engineer will join a vibrant team of Data Scientists and ML Engineers working with the Trading & Supply Capability Center (CC). He or she will be responsible for initiating, development and deployment of GenAI solutions/products in … include: Lead the technical direction of GenAI focused projects and initiatives Mentor junior AI engineers and help software engineers upskill on GenAI relevant techniques and tools Working within the Data Science and ML team to build and deploy GenAI solutions to production, using existing and emerging methods and technologies that could be effectively applied to use cases Build … evaluation systems and processes to ensure GenAI Tooling performs at a high standard Help guide and define strategic ambitions relevant to GenAI tooling and projects Work closely with Infrastructure, data engineering and DevOps teams to increase deployment velocity, including the process for deploying tools into production Work closely with Product Management to translate product requirements into robust, customer-agnostic More ❯

Insight Global is looking for a AI Engineer for one of their premier Energy Trading clients in London, UK. The AI Engineer will join a vibrant team of Data Scientists and ML Engineers working with the Trading & Supply Capability Center (CC). He or she will be responsible for initiating, development and deployment of GenAI solutions/products in … include: Lead the technical direction of GenAI focused projects and initiatives Mentor junior AI engineers and help software engineers upskill on GenAI relevant techniques and tools Working within the Data Science and ML team to build and deploy GenAI solutions to production, using existing and emerging methods and technologies that could be effectively applied to use cases Build … evaluation systems and processes to ensure GenAI Tooling performs at a high standard Help guide and define strategic ambitions relevant to GenAI tooling and projects Work closely with Infrastructure, data engineering and DevOps teams to increase deployment velocity, including the process for deploying tools into production Work closely with Product Management to translate product requirements into robust, customer-agnostic More ❯

is to deliver independent, accurate, and actionable research and advisory services. We empower the world’s most innovative corporations, technology and services vendors, and investors with granular insights and data-driven analysis. Our team is a curious, collaborative group of expert analysts, data engineers, commercial specialists, creative professionals, and thought leaders working together to help clients achieve their … with a preference for top-tier universities – desirable to have a relevant MSc, MBA or PhD Priority given to technical degrees with a strong focus on AI (e.g. Computer Science, Software Engineering, Artificial Intelligence, Data Science etc.) Experience in conducting research interviews and contributing to the development of research reports Proven ability to quickly write high quality … reports for a business audience. Quantitative skills and knowledge of Excel to manipulate large data sets and apply mathematical concepts. Experience in interviewing senior individuals across product, marketing and other role types to collect business or strategic information. Demonstrable passion for AI, stays informed on market developments and emerging technologies. Proactive in identifying hot research topics, commercial opportunities and More ❯

Senior LLM Engineer – London | Hybrid (2 days per week on-site, Bank area) My client is a long-established consultancy that originally built its reputation in data engineering and wider data transformation, and over the past few years has grown a strong applied AI practice. They tend to work with UK organisations where data security, reliability and … able to be in London (Bank area) twice a week • This is a senior role – typically someone with 3+ years’ experience in ML/AI roles, ideally from a data science or applied ML background Benefits/set-up: • Modern kit (MacBook etc.) • 27 days annual leave + bank holidays • 4-week paid sabbatical after 4 years’ tenure More ❯

Senior LLM Engineer – London | Hybrid (2 days per week on-site, Bank area) My client is a long-established consultancy that originally built its reputation in data engineering and wider data transformation, and over the past few years has grown a strong applied AI practice. They tend to work with UK organisations where data security, reliability and … able to be in London (Bank area) twice a week • This is a senior role – typically someone with 3+ years’ experience in ML/AI roles, ideally from a data science or applied ML background Benefits/set-up: • Modern kit (MacBook etc.) • 27 days annual leave + bank holidays • 4-week paid sabbatical after 4 years’ tenure More ❯

operational optimisation, and strategic decision-making. This is a fantastic opportunity for a skilled Machine Learning Engineer to build and deploy scalable, production-level ML solutions, working closely with Data Scientists and cross-functional teams to drive measurable business impact. You’ll play a pivotal role in integrating machine learning models into end-to-end pipelines, supporting strategic initiatives … real-time and offline platforms. Develop scalable model APIs with strong CI/CD and observability practices. Implement model testing, monitoring, and rollback capabilities in production environments. Collaborate with Data Scientists to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise … standards. Complete all mandatory compliance training and engage with compliance teams for clarification when needed. What You’ll Bring 3–5 years of experience in machine learning engineering and data science. Advanced degree (PhD or Master’s) in a numerate discipline. Excellent programming skills in Java and Python for production systems. Strong foundations in machine learning and data More ❯

About the Job Senior Fullstack Engineer (React/.Net) – London (Victoria) | Hybrid £80k - £110k Are you ready to craft the next generation of data-driven digital experiences for one of Europe’s most technically advanced SaaS innovators? Our client, a pioneer in B2B SaaS solutions , is building “Your Shipping Analytics Supercomputer” , providing cutting-edge data visualisation and dynamic … artificial intelligence. About the Role As a Senior Full-stack Engineer , you’ll play a key role in architecting and developing scalable, high-performance web applications that bring complex data to life. Working across both frontend (React, TypeScript) and backend (.NET Core, C#) technologies, you’ll collaborate with product, design, and data science teams to create seamless More ❯

About the Job Senior Fullstack Engineer (React/.Net) – London (Victoria) | Hybrid £80k - £110k Are you ready to craft the next generation of data-driven digital experiences for one of Europe’s most technically advanced SaaS innovators? Our client, a pioneer in B2B SaaS solutions , is building “Your Shipping Analytics Supercomputer” , providing cutting-edge data visualisation and dynamic … artificial intelligence. About the Role As a Senior Full-stack Engineer , you’ll play a key role in architecting and developing scalable, high-performance web applications that bring complex data to life. Working across both frontend (React, TypeScript) and backend (.NET Core, C#) technologies, you’ll collaborate with product, design, and data science teams to create seamless More ❯

re partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They’re expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. The role: You’ll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams with reliable … high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools (dbt More ❯

re partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They’re expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. The role: You’ll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams with reliable … high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools (dbt More ❯

About Us: Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Company Highlights: Quantiphi, a Services & AI … Platforms company, has seen 2.5x growth YoY since its inception in 2013 Headquartered in Boston, with 3300+ data science professionals across 11 global offices Winner of 3X NVIDIA AI Partner of the year award Winner of the 17X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner Winner of 3X AWS AI … Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms. Recognized in the Fast Company 2021 World Changing Ideas- AI and Data category Winner of 2021 AWS Canada Rising Star of the Year Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next More ❯

About Us: Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Company Highlights: Quantiphi, a Services & AI … Platforms company, has seen 2.5x growth YoY since its inception in 2013 Headquartered in Boston, with 3300+ data science professionals across 11 global offices Winner of 3X NVIDIA AI Partner of the year award Winner of the 17X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner Winner of 3X AWS AI … Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms. Recognized in the Fast Company 2021 World Changing Ideas- AI and Data category Winner of 2021 AWS Canada Rising Star of the Year Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next More ❯

embedding, retrieval augmented generation, and generative AI. Provide strategic input on AI architecture and scalable deployment strategies. Collaborate with cross-functional teams to build intelligent systems that autonomously analyze data and generate actionable insights. Stay ahead of the curve by contributing thought leadership in emerging AI technologies, including large language models and generative AI. Required Skills & Experience: Bachelors or … Masters degree in Computer Science, Engineering, Mathematics, Statistics, or a related STEM field. 5+ years of hands-on experience in data science and AI engineering. Proven track record of delivering AI software and deploying solutions in production. Strong proficiency in Python and libraries such as PyTorch, TensorFlow, Scikit-Learn, Keras, Numpy, Pandas, Langchain, Pinecone, and more. Experience More ❯

Senior Threat Detection Analyst Permanent | Hybrid We’re looking for an experienced Threat Detection Senior Analyst to join a global leader in data science and customer insights. The team supports some of the world’s most recognized brands, using data to drive smarter business decisions, and ensuring that data stays secure is central to everything they More ❯