251 to 275 of 652 Machine Learning Jobs in the City of London

data models to provide strategic insights. Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure. Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. Advanced skills in Power BI, including DAX, Power Query … and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯

Junior AI/ML Azure Engineer/6 months/Hybrid London/Start ASAP My client is setting up a brand new AI/ML function and within this capability, we are looking for a Azure AI MLOps Engineer professional. The role is based within the IT department on the AI function, located in my clients London headquarters building. … We are seeking a highly skilled and experienced Azure AI Engineer to design, develop and implement the AI and ML applications on the Azure platform. You will have adequate knowledge in deploying, integrating, testing and securing Azure AI Services encompassing AI and ML functions. You will be critical in creating intelligent AI applications. You will work closely with cross-functional … Setup and develop data ingestion pipelines and components; design and develop efficient ingestion methodologies Developing search related components using Azure AI Search (Vector Store) Developing and deploying AI/ML models on Azure technologies for business teams Work closely with MLOps engineers to Integrate MLOps practices into the existing development lifecycle Collaborate with AI Engineers, MLOps Engineers, Data Scientists and More ❯

Junior AI/ML Azure Engineer/6 months/Hybrid London/Start ASAP My client is setting up a brand new AI/ML function and within this capability, we are looking for a Azure AI MLOps Engineer professional. The role is based within the IT department on the AI function, located in my clients London headquarters building. … We are seeking a highly skilled and experienced Azure AI Engineer to design, develop and implement the AI and ML applications on the Azure platform. You will have adequate knowledge in deploying, integrating, testing and securing Azure AI Services encompassing AI and ML functions. You will be critical in creating intelligent AI applications. You will work closely with cross-functional … Setup and develop data ingestion pipelines and components; design and develop efficient ingestion methodologies Developing search related components using Azure AI Search (Vector Store) Developing and deploying AI/ML models on Azure technologies for business teams Work closely with MLOps engineers to Integrate MLOps practices into the existing development lifecycle Collaborate with AI Engineers, MLOps Engineers, Data Scientists and More ❯

impact, dynamic projects with flexibility to innovate Key Responsibilities Translate client challenges into actionable data solutions Develop and deploy scalable data pipelines and architectures Perform data analysis, modeling, and machine learning tasks Deliver actionable insights via reports, dashboards, and visualizations Advise on data governance, compliance, and best practices Collaborate across multidisciplinary teams to deliver project goals Keep pace More ❯

impact, dynamic projects with flexibility to innovate Key Responsibilities Translate client challenges into actionable data solutions Develop and deploy scalable data pipelines and architectures Perform data analysis, modeling, and machine learning tasks Deliver actionable insights via reports, dashboards, and visualizations Advise on data governance, compliance, and best practices Collaborate across multidisciplinary teams to deliver project goals Keep pace More ❯

with REST APIs, message queues (Kafka/RabbitMQ) or real-time data feeds. Exposure to cloud platforms (AWS/GCP) and infrastructure as code. Background in statistical analysis or machine learning (applied to trading workflows desirable but not required). If youre interested please reply with an updated CV or send directly to: oscar@virtuetech.io Front Office Python More ❯

with REST APIs, message queues (Kafka/RabbitMQ) or real-time data feeds. Exposure to cloud platforms (AWS/GCP) and infrastructure as code. Background in statistical analysis or machine learning (applied to trading workflows desirable but not required). If you’re interested please reply with an updated CV or send directly to: oscar@virtuetech.io Front Office More ❯

across all data activities. Lead on reporting and insight standardisation through tools such as Power BI and Omni, ensuring a consistent view of business performance. Drive predictive analytics and machine learning initiatives, including customer lifetime value and propensity modelling. Collaborate cross-functionally with commercial, finance, and digital teams to ensure insights translate into measurable business outcomes. Build, mentor More ❯

Experience Curiosity about or experience with AI-powered development tools (e.g., GitHub Copilot, ChatGPT, OpenAI APIs). Exposure to AI-assisted automation in support workflows or development. Understanding of machine learning basics or awareness of AI frameworks. Experience with cloud platforms (AWS, Azure). Knowledge of scripting languages (e.g., Python) to support automation. What can Synetec Offer you More ❯

Experience Curiosity about or experience with AI-powered development tools (e.g., GitHub Copilot, ChatGPT, OpenAI APIs). Exposure to AI-assisted automation in support workflows or development. Understanding of machine learning basics or awareness of AI frameworks. Experience with cloud platforms (AWS, Azure). Knowledge of scripting languages (e.g., Python) to support automation. What can Synetec Offer you More ❯

footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

. Hands-on experience in greenfield and brownfield platform implementations. Demonstrated success in solutioning and pre-sales (RFIs, RFPs, proposals, and client engagement). Practical knowledge of AI/ML integration within enterprise data ecosystems. Strong experience in building and mentoring high-performing data teams. Excellent stakeholder management, communication, and leadership skills. Hurry & apply for a more detailed conversation with More ❯

. Hands-on experience in greenfield and brownfield platform implementations. Demonstrated success in solutioning and pre-sales (RFIs, RFPs, proposals, and client engagement). Practical knowledge of AI/ML integration within enterprise data ecosystems. Strong experience in building and mentoring high-performing data teams. Excellent stakeholder management, communication, and leadership skills. Hurry & apply for a more detailed conversation with More ❯

scale projects. Skills & Experience Strong background as a DevOps or Cloud Engineer in public cloud environments (AWS, Azure, or GCP). Experience deploying and managing infrastructure for AI/ML workloads using MLOps or LLMOps practices. Excellent scripting and automation skills in Python (e.g. Boto3, SDKs). Proven experience with Python-based IaC frameworks (Pulumi, Terraform, CDKs). Hands-on More ❯

scale projects. Skills & Experience Strong background as a DevOps or Cloud Engineer in public cloud environments (AWS, Azure, or GCP). Experience deploying and managing infrastructure for AI/ML workloads using MLOps or LLMOps practices. Excellent scripting and automation skills in Python (e.g. Boto3, SDKs). Proven experience with Python-based IaC frameworks (Pulumi, Terraform, CDKs). Hands-on More ❯

AWS, Azure, GCP) Experience integrating AI or automation into operational workflows (e.g., monitoring, alerting, or data pipelines) Some knowledge of Atlassian Jira & Confluence Interest in emerging technologies (AI/ML, blockchain, IoT, edge computing) Open-source contributions or personal tech projects you're proud of Other Highly Desirable Skills: Previous Application Support - Ideally Trading/Market Data - Futures & Options Trading More ❯

and conversational AI systems. Drive responsible AI development with a focus on fairness, security, and governance in compliance with ethical standards. Required Skills & Experience 5+ years in AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building More ❯

and conversational AI systems. Drive responsible AI development with a focus on fairness, security, and governance in compliance with ethical standards. Required Skills & Experience 5+ years in AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building More ❯

clients across multiple sectors to bring their cloud strategy to life. Design and deliver transformative cloud solutions, from migrating legacy systems to building scalable, cloud-native applications. Drive continuous learning and certification across cloud technologies. Champion cloud innovation, advising clients on how cloud computing can transform their operations. Key Responsibilities Design and implement scalable, secure, and high-performance cloud … on cloud-related challenges. Lead and deliver large-scale, end-to-end cloud migration projects. Implement robust cloud security controls to safeguard data and systems. Collaborate with data scientists, ML engineers, and software developers to deploy machine learning models and production pipelines. Evaluate and recommend new cloud services to enhance infrastructure performance and efficiency. What We’re Looking More ❯

better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour … a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1–2 days onsite per week onsite in Central London. How to Apply: Please register your interest by sending your CV to More ❯

better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour … a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1–2 days onsite per week onsite in Central London. How to Apply: Please register your interest by sending your CV to 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. … 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, Azure (Cloud Environment) - Moving towards Azure Nice to Have: Astro/Airflow, Notebook Reasonable Adjustments: Respect More ❯

frontend systems , primarily utilizing React to craft intuitive and highly functional user interfaces. Productize and enhance our Kubernetes-based cloud platform to ensure high-availability, scalability, and cost-efficient ML workflows. Work proficiently across the entire stack to develop and integrate new features related to model versioning, dataset management, verification workflows, and result/metric aggregations. Collaborate closely with our … haves: Familiarity with the OpenAPI specification and code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training … only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us, you’ll be able to help advance the More ❯

the development and expansion of our global analytics platform —supporting Front Office Trading across commodities—by building scalable, secure, and efficient data solutions. You will work alongside data scientists, ML engineers, and business stakeholders to understand requirements, design and build robust data pipelines, and deliver end-to-end analytics and ML/AI capabilities. Key Responsibilities Design, build, and maintain … Databricks on AWS. Develop and enhance the Front Office data warehouse to ensure performance, reliability, and data quality for trading analytics. Partner with data scientists and quants to prepare ML-ready datasets and support the development of production-grade ML/AI pipelines. Implement and maintain CI/CD pipelines, testing frameworks, and observability tools for data engineering workflows. Contribute … as Code (IaC) using Terraform for provisioning data infrastructure, including permissions, clusters, jobs, and lakehouse resources. Proven experience in building MLOps pipelines, tracking model lifecycle, and integrating with modern ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow). Exposure to streaming data pipelines (e.g., Kafka, Structured Streaming) and real-time analytics architectures is a strong plus. Experience implementing robust DevOps practices More ❯