1 to 25 of 33 Remote Machine Learning Jobs in the City of London

Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up a greenfield standardized MLOps framework for capital … platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best practices for deploying and managing AI/ML solutions for a diverse … and dynamic user base, including data scientists, quants, risk managers, traders, and other tech-savvy users. Core Responsibilities: Lead the development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices for DataOps More ❯

Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up a greenfield standardized MLOps framework for capital … platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best practices for deploying and managing AI/ML solutions for a diverse … and dynamic user base, including data scientists, quants, risk managers, traders, and other tech-savvy users. Core Responsibilities: Lead the development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices for DataOps More ❯

Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up a greenfield standardized MLOps framework for capital … platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best practices for deploying and managing AI/ML solutions for a diverse … and dynamic user base, including data scientists, quants, risk managers, traders, and other tech-savvy users. Core Responsibilities: Lead the development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices for DataOps More ❯

and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent … UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have … background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: Design and develop highly-scalable, fault tolerant and event driven systems. Lead projects from inception to launch and More ❯

and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent … UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have … background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: Design and develop highly-scalable, fault tolerant and event driven systems. Lead projects from inception to launch and More ❯

and Permanent Remuneration (UK – Remote): £59.5–76.5k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent … UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have … background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: Design and develop highly-scalable, fault tolerant and event driven systems. Take ownership of tasks, having a high More ❯

and Permanent Remuneration (UK – Remote): £59.5–76.5k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent … UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have … background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: Design and develop highly-scalable, fault tolerant and event driven systems. Take ownership of tasks, having a high More ❯

and designing and implementing new endpoints. This involves diverse tasks from gathering requirements and giving feedback on technical feasibility to working closer to the machine learning team to bring the power of our AI to the product We build products, APIs, frameworks and world-leading deep learning … gather the insights needed for well-rounded solutions. Contribute to the development of the next generation of our Cognitive Skill Builder, collaborating with the Machine Learning team to integrate advanced AI features. Work with the Machine Learning and Data Science teams to bring the latest AutoNLU More ❯

disciplinary Senior squad of roughly 6 consisting of Principle and Senior Software Engineers, Data Engineers and Data Scientists, and will be tasked with supporting machine learning teams with deploying and maintaining models in production, ensuring they are reliable, scalable, and adhere to best practices. … You'll be involved optimizing model performance, mitigating risks, and refining deployment pipelines to meet governance and regulatory standards. You will collaborate with the ML platform team advocating for effective use of tools like feature stores and model registries. This role acts as the glue between data science and platform … system robustness and cost efficiency. Key skills and experience: ** Prior Senior Data Scientist with Machine Learning experience ** Strong understanding and experience with ML models and ML observability tools ** Strong Python and SQL experience ** Spark/Apache Airflow ** ML frame work experience (PyTorch/TensorFlow/Scikit-Learn) ** Experience More ❯

our Consulting services, click here Consulting - Delta Capita. Key Responsibilities (not exhaustive): • Design and develop AI-powered legal document review models, leveraging NLP, deep learning, and LLMs for contract clause extraction, risk assessment and compliance verification. • Implement machine learning pipelines for document processing, integrating OCR (Optical Character … developing and enhancing the AI-driven legal documentation review platform. • Work with senior engineers to implement and optimize natural language processing (NLP) models and machine learning algorithms focused on legal texts. • Integrate AI technologies for automated document analysis, highlighting key clauses, potential risks, and compliance issues. • Collaborate with … AI engineering experience Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience. Postgraduate or additional qualifications in AI/ML Experience with AI frameworks for legal text processing, including OCR tools. Strong knowledge of AI/ML concepts, particularly in NLP and Generative AI, Prompt More ❯

disciplinary senior squad of about 6 members, including Principal and Senior Software Engineers, Data Engineers, and Data Scientists. Your main responsibilities will include supporting machine learning teams in deploying and maintaining models in production, ensuring reliability, scalability, and … adherence to best practices. You will optimize model performance, mitigate risks, and refine deployment pipelines to meet governance and regulatory standards. Collaboration with the ML platform team will be essential, especially advocating for effective use of tools like feature stores and model registries. This role acts as a bridge between … robustness and cost efficiency. Key skills and experience: Prior experience as a Senior Data Scientist with Machine Learning expertise Strong understanding of ML models and observability tools Proficiency in Python and SQL Experience with Spark and Apache Airflow Knowledge of ML frameworks (PyTorch, TensorFlow, Scikit-Learn) Experience with More ❯

Forward Deployed Product Engineer (Python) 📍Fully Remote within the UK 💷 Up to £150k + Stock + Benefits ⚙️ Series C, Developer Tooling/ML Deployments Join a US scale-up on a mission to empower Engineering teams to deliver their best work, through simplifying the deployment of Machine Learning … Engineer to join the UK team! About the Role As a Forward Deployed Engineer you'll collaborate directly with customers to understand challenges, engineering ML-based deployment solutions. You'll be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on aspects like optimisation, scalability & efficiency You’ll … from world-class tech businesses like NVIDIA, Amazon, Datadog, Vercel, Meta, GitHub and Uber Key Responsibilities Partner with customers to identify and address their ML deployment needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client More ❯

framework, React, Angular etc. A strong understanding of DevOps, CI/CD, and modern software development practices. Solid experience with Python (especially data and machine learning libraries). Experience working with ETL platforms and cloud-based data engineering tools (AWS, Azure, or OCI). Excellent communication skills and More ❯

AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote About the Role A mission-driven, early-stage startup is looking for an AI Tech Lead to join its growing team. This is a hands-on leadership role where you’ll help shape a … on employee wellbeing in high-stress industries—and the mission is just getting started. You’ll lead a cross-functional team of backend and machine learning engineers, guiding architecture, mentoring team members, and staying close to the code. This is a rare opportunity to build both product and … in a fast-moving environment with purpose at its core. What You’ll Do Lead and mentor a senior engineering team working across backend, ML, and infrastructure. Play key role in design, development, and deployment AI applications using LLM's, Agentic framework, and other related technologies Own technical direction for More ❯

AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote About the Role A mission-driven, early-stage startup is looking for an AI Tech Lead to join its growing team. This is a hands-on leadership role where you’ll help shape a … on employee wellbeing in high-stress industries—and the mission is just getting started. You’ll lead a cross-functional team of backend and machine learning engineers, guiding architecture, mentoring team members, and staying close to the code. This is a rare opportunity to build both product and … in a fast-moving environment with purpose at its core. What You’ll Do Lead and mentor a senior engineering team working across backend, ML, and infrastructure. Play key role in design, development, and deployment AI applications using LLM's, Agentic framework, and other related technologies Own technical direction for More ❯

framework, React, Angular etc. A strong understanding of DevOps, CI/CD, and modern software development practices. Solid experience with Python (especially data and machine learning libraries). Experience working with ETL platforms and cloud-based data engineering tools (AWS, Azure, or OCI). Excellent communication skills and More ❯

Experienced with CI/CD for data workflows, version control (e.g., Git), and automation in data engineering. Desirable: Experience with Apache Spark Familiarity with machine learning frameworks and libraries Understanding of data governance and compliance Strong problem-solving and analytical skills Excellent communication and interpersonal skills Package: Up … to 110K basic salary Hybrid working: 4 days onsite London Learning and development programmes Vitality Health Care Unum Dental Life Assurance & Income Protection Car scheme Cycle to Work Retail discounts More ❯

functional teams to integrate AI-powered solutions into the Explore platform, optimise models for better content discovery, and support the deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills More ❯

Python experience for programming Databases, SQL and NoSQL (CosmosDB, KQL) Data Modelling: Kimball frameworks and 3NF Nice To Have Databricks Power BI AI/ML Azure Infrastructure DevOps Certifications Microsfot certified: fabric Analytics Engineer Associate DP-203 Azure data Engineering AZ-305 Azure Solutions Architect. If this sounds like you More ❯

to help enhance the data science capability of the business. You will take ownership of various projects such as Algorithmic Risk Ranking, Digital-Follow, Machine Learning Profitability Analysis and Pricing. You will also work closely with the Data Analytics Manager to define the strategic data requirements for delivery … Data Factory, SQL, Synapse, Power BI) is a plus Summary of role: Lead the Data Science function, delivering solutions that support underwriting decisions, including ML-driven Risk Ranking and profitability analysis. Develop the Digital-Follow channel in partnership with the Digital Trading team, using broker data to assess portfolio performance More ❯

full-stack development using tools like TypeScript, Next.JS, PHP, Python, and PostgreSQL. Deep understanding of cloud platforms (AWS, GCP). Experience with AI/ML applications and deployment. Customer-Driven Problem Solver: You're passionate about talking directly to customers, uncovering their biggest pain points, and delivering solutions they can More ❯

rewarding career. We work with a broad range of clients including the majority of the Tier One Investment Banks, SME tech companies in the machine learning/AI spaces, ESG investors and traditional asset managers so successful candidates will acquire a very broad knowledge base across all aspects More ❯

full-stack development using tools like TypeScript, Next.JS, PHP, Python, and PostgreSQL. Deep understanding of cloud platforms (AWS, GCP). Experience with AI/ML applications and deployment. Customer-Driven Problem Solver: You're passionate about talking directly to customers, uncovering their biggest pain points, and delivering solutions they can More ❯

Provide visionary leadership and foster a culture of innovation. Oversee the design and implementation of credit risk models and systems. Integrate advanced analytics and machine learning techniques. Ensure the accuracy and reliability of credit risk data. Maintain and enhance credit risk databases. Develop comprehensive credit risk reporting frameworks. More ❯

of technologists, manage a significant budget, and partner with stakeholders in Risk, Finance, and Operations. From enhancing risk models and data integrity to integrating machine learning and regulatory frameworks, you will define the credit risk tech roadmap and drive continuous innovation. Ideal candidates will bring over 10 years More ❯