151 to 175 of 208 Data Science Jobs in the City of London

and machine learning to deliver cutting-edge solutions to clients. The Role As a Senior Financial Crime Analytics Manager, you will be: Leading a team of 10+ financial crime data scientists and analysts. Driving technical delivery across financial crime, fraud, conduct risk, and forensic analytics. Spearheading the development and go-to-market strategy for new AI/ML-based More ❯

and machine learning to deliver cutting-edge solutions to clients. The Role As a Senior Financial Crime Analytics Manager, you will be: Leading a team of 10+ financial crime data scientists and analysts. Driving technical delivery across financial crime, fraud, conduct risk, and forensic analytics. Spearheading the development and go-to-market strategy for new AI/ML-based More ❯

s team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own … initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial. This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment. Skills required … following: Python, C#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science An interest in sports - Ideally football or cricket If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at Spectrum More ❯

You have: · Advanced Python proficiency, especially in scalable, clean code architecture and microservices (e.g., FastAPI, Flask, asyncio) · Solid understanding of API integration patterns and inter-servic communication (e.g. REST, Kafka) · Experience with authentication and authorization mechanisms (e.g. OAuth2, JWT, Azure More ❯

bonus! In this role, you'll be a key contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. All positions at Safe Intelligence are … GitHub Actions. Nice-to-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 More ❯

bonus! In this role, you'll be a key contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. All positions at Safe Intelligence are … GitHub Actions. Nice-to-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 More ❯

cloud-native architecture Architect performant, secure systems that scale to meet growing demand Lead technical projects with high business impact, from concept to delivery Collaborate cross-functionally with Product, Data Science, and Operations teams Mentor developers, promote best practices, and improve engineering workflows Shape technical strategy and contribute to long-term system improvements Drive code quality, observability, and … resiliency across services Tech Stack Frontend : React, JavaScript/TypeScript Backend : Python (FastAPI, Flask, or Django), ideally with geospatial data processing Cloud : AWS (Lambda, ECS, RDS, S3, API Gateway, etc.) DevOps : Docker, CI/CD pipelines, Git Orchestration : Airflow or similar tools Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to More ❯

Client Success Engineer: AI/Data Solutions (London/Peterborough/Doncaster Hybrid) Contract: Part-time to Full-time Transition Location: London and Peterborough, with ad-hoc travel to Doncaster Duration: Initial 2–3 months, with potential for extension or permanent conversion We are partnering with a leading AI and data consultancy to hire a Client Success Engineer … who will play a key role in bridging technical capability with client strategy. You will help clients adopt and optimise AI-driven tools and data platforms, ensuring successful outcomes and measurable value from digital transformation initiatives. The Role Work closely with clients to understand technical requirements, design AI solutions, and manage delivery Collaborate with technical and commercial teams to … year with potential for permanent transition Regular on-site work at client offices in London and Peterborough with occasional travel to Doncaster About You Strong technical background in software, data science, or machine learning Experience engaging directly with enterprise clients and stakeholders Skilled at problem-solving, rapid prototyping, and managing multiple priorities Confident communicator with a collaborative, delivery More ❯

Client Success Engineer: AI/Data Solutions (London/Peterborough/Doncaster Hybrid) Contract: Part-time to Full-time Transition Location: London and Peterborough, with ad-hoc travel to Doncaster Duration: Initial 2–3 months, with potential for extension or permanent conversion We are partnering with a leading AI and data consultancy to hire a Client Success Engineer … who will play a key role in bridging technical capability with client strategy. You will help clients adopt and optimise AI-driven tools and data platforms, ensuring successful outcomes and measurable value from digital transformation initiatives. The Role Work closely with clients to understand technical requirements, design AI solutions, and manage delivery Collaborate with technical and commercial teams to … year with potential for permanent transition Regular on-site work at client offices in London and Peterborough with occasional travel to Doncaster About You Strong technical background in software, data science, or machine learning Experience engaging directly with enterprise clients and stakeholders Skilled at problem-solving, rapid prototyping, and managing multiple priorities Confident communicator with a collaborative, delivery More ❯

. In this role, you'll be a key contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. The role is hybrid with … domain-driven architecture, and concurrency. 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 More ❯

. In this role, you'll be a key contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. The role is hybrid with … domain-driven architecture, and concurrency. 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 More ❯

Create technical documentation and share best practices across teams. Essential Skills & Experience Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent More ❯

Create technical documentation and share best practices across teams. Essential Skills & Experience Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent More ❯

and eager to experiment with GenAI development tools 🌍 Why You'll Love It Here Remote-first culture with monthly in-person meetups across the UK & Europe Work alongside engineers, data scientists and product leaders shaping the future of delivery intelligence Inclusive, merit-based environment, where feedback fuels growth Real impact: build software used by some of the world's More ❯

Data Scientist - Finance/Investments London – 5 days in office Up to £120,000 + Strong Bonus Potential About the Role We are working with a leading hedge fund and alternative investment firm, specialising in global macro strategies with a particular emphasis on inflation modelling and the wider economic landscape. They are looking for a Data Scientist to … cutting edge of time-series forecasting within a fast-paced and intellectually rigorous environment. Key Responsibilities Building machine learning models, with a focus on time-series forecasting. Collaborating with data scientists and researchers to productionise models. Managing both cloud-based and on-premise infrastructure. Ensuring reliability and scalability of ML systems in production. What We’re Looking For 3+ … years of experience in Data Science. Strong proficiency in Python and experience with ML libraries/frameworks (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). More ❯

The Details Contract: Permanent Remuneration: £28,000 Location: London, remote working available Culture: Friendly, positive, fun and vibrant The Opportunity An excellent position for a Data Scientist or Data Analyst, who is motivated by variety and opportunity. This is a successful and entrepreneurial business, focused on helping their clients to understand and serve their customers more effectively. The … founder is passionate, innovative and an excellent salesperson, which means new clients are being won. The company needs you to bring a proactive approach to their data, to deliver value to their clients. There is excellent potential for growth at the company. The Role As the business grows, we are looking for a Data analyst to work alongside … the account team. This role would suit a graduate or a data analyst with experience in a similar role. Lead on the production of campaign reports and work alongside the data scientist to support the development of predictive models, that identify opportunities to activate client growth. Produce campaign reports and analyses across the agency client base, working closely More ❯

The Details Contract: Permanent Remuneration: £28,000 Location: London, remote working available Culture: Friendly, positive, fun and vibrant The Opportunity An excellent position for a Data Scientist or Data Analyst, who is motivated by variety and opportunity. This is a successful and entrepreneurial business, focused on helping their clients to understand and serve their customers more effectively. The … founder is passionate, innovative and an excellent salesperson, which means new clients are being won. The company needs you to bring a proactive approach to their data, to deliver value to their clients. There is excellent potential for growth at the company. The Role As the business grows, we are looking for a Data analyst to work alongside … the account team. This role would suit a graduate or a data analyst with experience in a similar role. Lead on the production of campaign reports and work alongside the data scientist to support the development of predictive models, that identify opportunities to activate client growth. Produce campaign reports and analyses across the agency client base, working closely More ❯

Azure, and the second around Copilot. Key Criteria: Proven extensive experience developing AI solutions on Microsoft Azure AI Foundry, Microsoft Azure ML Studio or using Copilot . Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business processes. Experience designing and deploying Agentic AI solutions leveraging orchestration, pipelines, and observability on More ❯

causaLens delivers digital workers for analytics & data science, transforming the way enterprises automate complex analytics workflows. Our AI agents act as always-on digital workers, eliminating the need for fragmented tools, consultants, and seat licenses. Trusted by industry leaders like Cisco, Johnson & Johnson, and Canon, causaLens empowers teams to achieve insights 10x faster at 1/10th the More ❯

causaLens delivers digital workers for analytics & data science, transforming the way enterprises automate complex analytics workflows. Our AI agents act as always-on digital workers, eliminating the need for fragmented tools, consultants, and seat licenses. Trusted by industry leaders like Cisco, Johnson & Johnson, and Canon, causaLens empowers teams to achieve insights 10x faster at 1/10th the More ❯

models to understand their requirements and guiding them through what is and is not possible or desirable in a model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Familiarity with best practice in Machine Learning workflows and MLOps More ❯

models to understand their requirements and guiding them through what is and is not possible or desirable in a model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Familiarity with best practice in Machine Learning workflows and MLOps More ❯

clients. What are they looking for? Proven experience as a Product Manager/Senior Product Manager with a recent focus on ML or GenAI products Previous experience as a Data Scientist or ML Engineer Fintech/B2B/SaaS experience would be highly desirable Strong understanding of AI/ML concepts, workflows, and responsible AI practices Comfortable leading teams More ❯

clients. What are they looking for? Proven experience as a Product Manager/Senior Product Manager with a recent focus on ML or GenAI products Previous experience as a Data Scientist or ML Engineer Fintech/B2B/SaaS experience would be highly desirable Strong understanding of AI/ML concepts, workflows, and responsible AI practices Comfortable leading teams More ❯

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 ❯