176 to 200 of 208 Data Science Jobs in the City of London

ML workflows. Ensure reliability, scalability, observability, and security of production systems and ML infrastructure. Automate deployment, orchestration, and environment management using modern DevOps tooling. Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. Stay up to date with industry best practices … orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. Ability to design scalable, secure, and observable systems in fast-moving environments. Strong More ❯

+ incentives (Year 1 earnings: £40-45K) Founded in 2023, this recruitment agency has quickly become a trusted recruitment partner for scaling high-performing teams in Software Development, Data Science and Professional Services into financial services and pharmaceutical industries across Europe. This is an opportunity to join the growing team with the ability to travel to their More ❯

organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will work … closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. Key Responsibilities: Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements … and translate them into technical specifications. Perform data ingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and propose More ❯

organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will work … closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. Key Responsibilities: Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements … and translate them into technical specifications. Perform data ingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and propose More ❯

skilled Machine Learning Engineer to join our team on a contract basis. You will be responsible for designing, building, and deploying machine learning models into production, working closely with data scientists, software engineers, and product teams to deliver scalable AI solutions. This is an excellent opportunity for someone who thrives in fast-paced environments and enjoys solving complex problems … with real-world impact. Key Responsibilities Develop, train, and optimize machine learning models for production use. Collaborate with data scientists to turn research prototypes into production-grade solutions. Build robust data pipelines and feature engineering workflows. Deploy ML solutions into cloud environments (AWS, GCP, or Azure). Implement monitoring, testing, and model performance evaluation frameworks. Work with engineering … Strong programming skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). More ❯

skilled Machine Learning Engineer to join our team on a contract basis. You will be responsible for designing, building, and deploying machine learning models into production, working closely with data scientists, software engineers, and product teams to deliver scalable AI solutions. This is an excellent opportunity for someone who thrives in fast-paced environments and enjoys solving complex problems … with real-world impact. Key Responsibilities Develop, train, and optimize machine learning models for production use. Collaborate with data scientists to turn research prototypes into production-grade solutions. Build robust data pipelines and feature engineering workflows. Deploy ML solutions into cloud environments (AWS, GCP, or Azure). Implement monitoring, testing, and model performance evaluation frameworks. Work with engineering … Strong programming skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). More ❯

Data Scientist Contract Length: 4-Months Day Rate: £520 Outside IR35 We’re looking for a Data Scientist to join an exciting project focused on multi-touch attribution modelling within a leading consumer-focused organisation. This is a hands-on, independent role suited to someone from an R&D, innovation, or consulting background who enjoys solving complex data … impactful, proof-of-concept solutions - not just perfect models. Key Responsibilities Build and implement multi-touch attribution models to understand marketing impact and customer journeys. Analyse B2C purchase path data to identify key conversion drivers and optimise spend allocation. Create proof-of-concept models using imperfect datasets, prioritising value delivery over perfection. Collaborate with marketing and analytics teams to … Background in R&D, start-up, or consulting environments where innovation and adaptability are key. Experience working with marketing and customer journey data. Solid understanding of statistics, experimentation, and data-driven storytelling. Confident communicator who can work independently and deliver results quickly. More ❯

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content … speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor … syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. The rewards There's one thing people can't stop talking about More ❯

core technology crucial to Ki's success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we favour a highly iterative, analytical approach. We're More ❯

core technology crucial to Ki's success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we favour a highly iterative, analytical approach. We're More ❯

We are looking for Senior Applied Scientist to lead the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: Provide technical leadership for a team of highly capable applied AI scientists, fostering a culture … world that can withstand the most aggressive and determined fraud attacks. Design and build high performance end to end systems spanning all parts of the identity verification application from data acquisition, data processing, and post processing. Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data. Participate More ❯

Our client at very well known Retail Giant is currently looking to hire a Senior/Lead Technical Engineer (Data/ML) based from their offices in London. As the Senior/Lead Tech Engineer/Manager (Data/ML) you will be part of build a small team and mentor during the build phase along with the … Engineering Manager. Job Title: Senior/Lead Tech Eng/Manager (Data/ML) Location: London/Hybrid - Once a Week (Thursday) in London Duration: 6 Months Day Rate: £550 to £600prd (Inside IR35 - Umbrella) This is a greenfield based project with crossover from another tech team conducting a similar model. Interaction with Key Stakeholders and like minded Tech … Teams is essential. Working alongside the Data Scientist and Data Architect Experience at a Tech Lead/Senior Engineering Level Mentoring/Team Leading experience - REQUIRED/Demonstrable on CV (Full Support from Engineering Manager is also available) Hands on development/engineering background Machine Learning or Data Background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS More ❯

core technology crucial to Ki's success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we favour a highly iterative, analytical approach. We're More ❯

core technology crucial to Ki's success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we favour a highly iterative, analytical approach. We're More ❯

About Us: We’re a team of passionate innovators empowering businesses through the transformative power of data, machine learning, and artificial intelligence. At Inference Group, our mission is simple: to help organisations unlock their true potential and drive sustainable growth. As we expand rapidly, we’re looking for creative, curious minds who want to make a real impact. Here … you’ll collaborate with leading experts in data, AI, and technology to help clients harness the full potential of their data. We believe in making the most of the journey. If you’re ambitious, inventive, and eager to contribute to the early stages of a fast-growing consultancy, we’d love to have you on board. We’ll explore … the limitless opportunities of data and AI – driving excellence and having plenty of fun along the way. We’re looking for an experienced and driven Programme Manager to lead the successful delivery of complex, high-impact AI and Machine Learning initiatives. This isn’t just about overseeing projects — it’s about shaping client outcomes, driving commercial growth, and developing More ❯

About Us: We’re a team of passionate innovators empowering businesses through the transformative power of data, machine learning, and artificial intelligence. At Inference Group, our mission is simple: to help organisations unlock their true potential and drive sustainable growth. As we expand rapidly, we’re looking for creative, curious minds who want to make a real impact. Here … you’ll collaborate with leading experts in data, AI, and technology to help clients harness the full potential of their data. We believe in making the most of the journey. If you’re ambitious, inventive, and eager to contribute to the early stages of a fast-growing consultancy, we’d love to have you on board. We’ll explore … the limitless opportunities of data and AI – driving excellence and having plenty of fun along the way. We’re looking for an experienced and driven Programme Manager to lead the successful delivery of complex, high-impact AI and Machine Learning initiatives. This isn’t just about overseeing projects — it’s about shaping client outcomes, driving commercial growth, and developing More ❯

of solutions Drive architectural and design decisions, ensuring scalable, resilient systems built on sound engineering principles and best practices Partner with clients to define and evolve their technology and data strategy, modernizing infrastructure, architecture, and technology stacks Utilize DevOps tools and practices to automate and streamline the build and deployment processes Work closely with Data Scientists and Engineers … to deliver robust, production-level AI and Machine Learning systems Develop frameworks and tools for efficient data ingestion from diverse and complex sources Operate in short, iterative sprints, delivering working software aligned with clear deliverables and client-defined deadlines Demonstrate flexibility by learning and working across multiple programming languages and technologies as required Additional Responsibilities: Actively contribute to a … an added advantage Understanding of web APIs, contracts and communication protocols Understanding of Cloud platforms, infra-automation/DevOps, IaC/GitOps/Containers, design and development of large data platforms A maker’s mindset - To be resourceful and have the ability to do things that have no instructions What will you experience in terms of culture at Sahaj More ❯

of solutions Drive architectural and design decisions, ensuring scalable, resilient systems built on sound engineering principles and best practices Partner with clients to define and evolve their technology and data strategy, modernizing infrastructure, architecture, and technology stacks Utilize DevOps tools and practices to automate and streamline the build and deployment processes Work closely with Data Scientists and Engineers … to deliver robust, production-level AI and Machine Learning systems Develop frameworks and tools for efficient data ingestion from diverse and complex sources Operate in short, iterative sprints, delivering working software aligned with clear deliverables and client-defined deadlines Demonstrate flexibility by learning and working across multiple programming languages and technologies as required Additional Responsibilities: Actively contribute to a … an added advantage Understanding of web APIs, contracts and communication protocols Understanding of Cloud platforms, infra-automation/DevOps, IaC/GitOps/Containers, design and development of large data platforms A maker’s mindset - To be resourceful and have the ability to do things that have no instructions What will you experience in terms of culture at Sahaj More ❯

and energy; and improve their ROI. sustainability meets profitability. Our client aims to change how corporate finance works, by replacing static, limited and often stale financial metrics with live data-driven insights sourced from direct connections to their clients’ systems. You will be joining a strong team of Backend Python Engineers, Data Scientists, and financial experts, who are … Software Engineer, you will contribute to the design, development, and delivery of scalable, high-impact features across our platform. You’ll work closely with experienced engineers, product managers, and data scientists to build reliable systems that solve complex financial problems. This role offers an excellent opportunity to deepen your technical expertise, take ownership of individual projects, and grow in … FastAPI, Pydantic, PostgreSQL, Numpy, Pandas, AWS DevOps tools: Kubernetes, Docker,Terraform, Jenkins Very strong software engineering principles Enthusiasm for startup environment and cross-functional teams Passion for automation and data infrastructure More ❯

and energy; and improve their ROI. sustainability meets profitability. Our client aims to change how corporate finance works, by replacing static, limited and often stale financial metrics with live data-driven insights sourced from direct connections to their clients’ systems. You will be joining a strong team of Backend Python Engineers, Data Scientists, and financial experts, who are … Software Engineer, you will contribute to the design, development, and delivery of scalable, high-impact features across our platform. You’ll work closely with experienced engineers, product managers, and data scientists to build reliable systems that solve complex financial problems. This role offers an excellent opportunity to deepen your technical expertise, take ownership of individual projects, and grow in … FastAPI, Pydantic, PostgreSQL, Numpy, Pandas, AWS DevOps tools: Kubernetes, Docker,Terraform, Jenkins Very strong software engineering principles Enthusiasm for startup environment and cross-functional teams Passion for automation and data infrastructure More ❯

development and advancement, frequently not available at other consulting firms: Structuring and performing analysis, and conducting primary research, to uncover the insights that support our recommendations to clients Translating data into meaningful insights and recommendations Presenting at team and client meetings, and determining the most practical way to drive lasting results based on your insights working with senior executives … relationship with clients, listen to their challenges and needs. Design and conceptualisation of MVP (Minimum Viable Products), which are early prototypes of Entrepreneurial Solutions Develop methodological skills to search data and gather information. Structure analyses and distil messages on appropriate communication media. Willingness to travel across Europe is required. Additional information Learning Programme: In addition to your operational development … techniques Oral and written communication Advanced Excel modelling Strategy development toolkit Development training in specific programming languages 3HORIZONS symposiums with industry leaders Working directly with business experts, creative designers, data scientists Qualifications Education: Science, Technology, Engineering or Management Masters Degree Experience: 0.5-2 years Languages: Fluent in English. Italian language is considered a plus. Software: Proficiency in Microsoft More ❯

development and advancement, frequently not available at other consulting firms: Structuring and performing analysis, and conducting primary research, to uncover the insights that support our recommendations to clients Translating data into meaningful insights and recommendations Presenting at team and client meetings, and determining the most practical way to drive lasting results based on your insights working with senior executives … relationship with clients, listen to their challenges and needs. Design and conceptualisation of MVP (Minimum Viable Products), which are early prototypes of Entrepreneurial Solutions Develop methodological skills to search data and gather information. Structure analyses and distil messages on appropriate communication media. Willingness to travel across Europe is required. Additional information Learning Programme: In addition to your operational development … techniques Oral and written communication Advanced Excel modelling Strategy development toolkit Development training in specific programming languages 3HORIZONS symposiums with industry leaders Working directly with business experts, creative designers, data scientists Qualifications Education: Science, Technology, Engineering or Management Masters Degree Experience: 0.5-2 years Languages: Fluent in English. Italian language is considered a plus. Software: Proficiency in Microsoft More ❯

Shaw, and Millennium, operates in a high-trust, high-accountability environment with a strong investment focus and entrepreneurial culture. Reporting to the CRO and collaborating closely with investment and data teams, this role offers the opportunity to design and deliver greenfield systems that visualise complex financial data, support analytical workflows, and integrate seamlessly with backend infrastructure. You’ll … key role in shaping the fund’s research and tooling platform from inception. Responsibilities: Build and maintain full-stack applications and internal tools, with an emphasis on high-performance, data-intensive frontend systems. Collaborate directly with investment professionals, quants, and data scientists to develop responsive dashboards and analytical interfaces. Integrate frontend components with Python-based backend services and … APIs. Optimise application performance for large datasets, leveraging efficient data manipulation and visualisation techniques. Qualifications: 1–7 years of professional software engineering experience. Strong academic background from a leading university. Deep experience with modern JavaScript frameworks (React preferred), TypeScript, and data visualisation tools. Proficiency in Python and familiarity with data workflows and backend frameworks (FastAPI/Flask More ❯

Shaw, and Millennium, operates in a high-trust, high-accountability environment with a strong investment focus and entrepreneurial culture. Reporting to the CRO and collaborating closely with investment and data teams, this role offers the opportunity to design and deliver greenfield systems that visualise complex financial data, support analytical workflows, and integrate seamlessly with backend infrastructure. You’ll … key role in shaping the fund’s research and tooling platform from inception. Responsibilities: Build and maintain full-stack applications and internal tools, with an emphasis on high-performance, data-intensive frontend systems. Collaborate directly with investment professionals, quants, and data scientists to develop responsive dashboards and analytical interfaces. Integrate frontend components with Python-based backend services and … APIs. Optimise application performance for large datasets, leveraging efficient data manipulation and visualisation techniques. Qualifications: 1–7 years of professional software engineering experience. Strong academic background from a leading university. Deep experience with modern JavaScript frameworks (React preferred), TypeScript, and data visualisation tools. Proficiency in Python and familiarity with data workflows and backend frameworks (FastAPI/Flask More ❯

and custom fine-tuning approaches. Architect scalable, secure, and cost-effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model providers … pilot deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation, and responsible AI. Ensure compliance with data privacy regulations (GDPR, HIPAA, etc.) and internal governance policies. Define monitoring and observability strategies for GenAI systems in production. Stakeholder Engagement Translate business requirements into technical specifications and solution More ❯