126 to 150 of 668 Machine Learning Jobs in the City of London

by experienced entrepreneurs, backed by top-tier investors and advised by leaders in the industry, they're early but moving fast. If you have experience launching AI products, productionising machine learning models, and are looking to be part of a company’s journey from the early days, this is a rare opportunity to help shape both the product … STEM subjects from leading UK universities 3+ years of professional experience Strong experience working with LLMs and RAG pipelines Machine Learning expertise Fluency in Python and modern ML/AI frameworks Comfortable wearing multiple hats Experience in a start-up or fast-paced environment You care deeply about product, not just models This is a rare opportunity to More ❯

by experienced entrepreneurs, backed by top-tier investors and advised by leaders in the industry, they're early but moving fast. If you have experience launching AI products, productionising machine learning models, and are looking to be part of a company’s journey from the early days, this is a rare opportunity to help shape both the product … STEM subjects from leading UK universities 3+ years of professional experience Strong experience working with LLMs and RAG pipelines Machine Learning expertise Fluency in Python and modern ML/AI frameworks Comfortable wearing multiple hats Experience in a start-up or fast-paced environment You care deeply about product, not just models This is a rare opportunity to More ❯

Data QA Engineer We are seeking a QA Engineer with a strong background in data and analytics to help ensure the accuracy and reliability of both data pipelines and machine learning models . This role combines hands-on testing, automation, and close collaboration with engineering and data teams. About the Role You’ll take ownership of quality assurance … you’ll have a strong understanding of SQL to verify data consistency and accuracy. You’ll support with automated QA solutions for data pipelines and testing the outputs of ML models. Responsibilities Design, develop, and execute comprehensive test plans and test cases for data pipelines and ML models. Implement and maintain automated testing frameworks for data and ML quality assurance … For 2+ years’ experience in QA, with a focus on data-driven products . Strong SQL skills and proficiency in Python . Understanding of data warehousing concepts. Familiarity with machine learning methodologies. Ability to collaborate with cross-functional teams. The role is hybrid with travel to the london office. If you have the desired skills and experience and More ❯

Data QA Engineer We are seeking a QA Engineer with a strong background in data and analytics to help ensure the accuracy and reliability of both data pipelines and machine learning models . This role combines hands-on testing, automation, and close collaboration with engineering and data teams. About the Role You’ll take ownership of quality assurance … you’ll have a strong understanding of SQL to verify data consistency and accuracy. You’ll support with automated QA solutions for data pipelines and testing the outputs of ML models. Responsibilities Design, develop, and execute comprehensive test plans and test cases for data pipelines and ML models. Implement and maintain automated testing frameworks for data and ML quality assurance … For 2+ years’ experience in QA, with a focus on data-driven products . Strong SQL skills and proficiency in Python . Understanding of data warehousing concepts. Familiarity with machine learning methodologies. Ability to collaborate with cross-functional teams. The role is hybrid with travel to the london office. If you have the desired skills and experience and More ❯

sports. The team are all using Computer Vision so an understanding of how this works is beneficial but not essential. In this role, you will: Deliver at scale: deploy ML models across cloud and edge platforms, scaling to thousands of simultaneous matches. Lead impactful projects: Own and drive initiatives that directly enhance the experience for athletes, coaches, and fans. Collaborate … skills: Deep experience with Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. MLOps. Product-minded approach: Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams. Scalable systems expertise: Solid track record building and managing AI/ML systems in production environments at scale. Nice to Have: Sports … tech experience: Background applying AI/ML in the sports domain for data generation or insights. Systems optimisation: Knowledge of GPU kernel development (CUDA, OpenCL, etc.), real-time system optimisation (e.g., Nvidia NSight), or experience working with embedded SoCs (Nvidia, Qualcomm, etc.). If you're interested in this role and feel you fit some of the requirements, then apply More ❯

sports. The team are all using Computer Vision so an understanding of how this works is beneficial but not essential. In this role, you will: Deliver at scale: deploy ML models across cloud and edge platforms, scaling to thousands of simultaneous matches. Lead impactful projects: Own and drive initiatives that directly enhance the experience for athletes, coaches, and fans. Collaborate … skills: Deep experience with Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. MLOps. Product-minded approach: Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams. Scalable systems expertise: Solid track record building and managing AI/ML systems in production environments at scale. Nice to Have: Sports … tech experience: Background applying AI/ML in the sports domain for data generation or insights. Systems optimisation: Knowledge of GPU kernel development (CUDA, OpenCL, etc.), real-time system optimisation (e.g., Nvidia NSight), or experience working with embedded SoCs (Nvidia, Qualcomm, etc.). If you're interested in this role and feel you fit some of the requirements, then apply More ❯

Senior Data Scientist | Biotech & Machine Learning | London (3/4 days per week onsite) About Excited to apply advanced machine learning to real-world biomedical discovery? This fast-growing biotech startup is building breakthrough algorithms that extract insight from complex, noisy time-series data - and they’re looking for a Senior Data Scientist to help shape … probabilistic modelling, and dynamic programming to biological datasets, working closely with scientists and engineers to turn research into production-grade tools. This is your chance to bring cutting-edge ML into the heart of biomedical innovation and see your work accelerate discoveries that matter. 💡 Why join: Lead high-impact projects bridging AI and life sciences Collaborate with brilliant engineers and … for transforming noisy data into meaningful insight Strong collaboration across technical and scientific disciplines A mindset focused on reproducibility, clarity, and impact They’re open to a range of ML and scientific backgrounds (Python is the core language). 📍 London | Hybrid (3-4 days/week) If you’re ready to push the boundaries of what’s possible in computational More ❯

About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with data science and machine learning. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance. They’re now hiring a Lead/Principal … Data Scientist to lead machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to commercial outcomes. This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at … problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Act as a technical lead within project teams More ❯

About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with data science and machine learning. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance. They’re now hiring a Lead/Principal … Data Scientist to lead machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to commercial outcomes. This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at … problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Act as a technical lead within project teams More ❯

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, 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 … techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI. Grow with us! If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important More ❯

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, 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 … techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI. Grow with us! If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important More ❯

partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Lead Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely … problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance … design choices Communicate findings and strategic insights to both technical and non-technical stakeholders About You You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not More ❯

Lead Data Scientist | Biotech & Machine Learning | London (3/4 days per week onsite) About Excited to apply advanced machine learning to real-world biomedical discovery? This fast-growing biotech startup is building breakthrough algorithms that extract insight from complex, noisy time-series data - and they’re looking for a Senior Data Scientist to help shape … probabilistic modelling, and dynamic programming to biological datasets, working closely with scientists and engineers to turn research into production-grade tools. This is your chance to bring cutting-edge ML into the heart of biomedical innovation and see your work accelerate discoveries that matter. 💡 Why join: Lead high-impact projects bridging AI and life sciences Collaborate with brilliant engineers and … for transforming noisy data into meaningful insight Strong collaboration across technical and scientific disciplines A mindset focused on reproducibility, clarity, and impact They’re open to a range of ML and scientific backgrounds (Python is the core language). 📍 London | Hybrid (3-4 days/week) If you’re ready to push the boundaries of what’s possible in computational More ❯

Lead Data Scientist | Biotech & Machine Learning | London (3/4 days per week onsite) About Excited to apply advanced machine learning to real-world biomedical discovery? This fast-growing biotech startup is building breakthrough algorithms that extract insight from complex, noisy time-series data - and they’re looking for a Senior Data Scientist to help shape … probabilistic modelling, and dynamic programming to biological datasets, working closely with scientists and engineers to turn research into production-grade tools. This is your chance to bring cutting-edge ML into the heart of biomedical innovation and see your work accelerate discoveries that matter. 💡 Why join: Lead high-impact projects bridging AI and life sciences Collaborate with brilliant engineers and … for transforming noisy data into meaningful insight Strong collaboration across technical and scientific disciplines A mindset focused on reproducibility, clarity, and impact They’re open to a range of ML and scientific backgrounds (Python is the core language). 📍 London | Hybrid (3-4 days/week) If you’re ready to push the boundaries of what’s possible in computational More ❯

days per week on-site) A fast-growing entertainment company is expanding its data engineering team to build a modern, scalable data foundation that powers analytics, experimentation, and machine learning across the business. Data plays a key role in how the company grows, innovates, and delivers great experiences for its users. You’ll work alongside experienced engineers and … creative, fast-paced environment. Key Responsibilities: Build and maintain reliable, scalable data pipelines for structured, semi-structured, and streaming data Design and improve data models to support analytics and machine learning use cases Develop and support real-time data workflows using technologies such as Apache Kafka Monitor and ensure data quality, reliability, and security across the stack Contribute … MLOps and modern data engineering best practices Why join: You’ll be part of a company with a clear mission and strong data culture, joining a team that values learning, collaboration, and creativity. The role offers real opportunities to grow towards senior and platform-focused positions, working with a modern tech stack and talented peers. Package & Setup More ❯

on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime … and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business … effectively in a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

databases, ensuring data quality, integrity, and security. AI Integration in Healthcare: Assist in the development and implementation of AI solutions tailored to healthcare challenges. Collaborate with data scientists and machine learning engineers to deploy models into production environments. Utilize genomics, clinical, and administrative data to derive actionable insights and recommendations. Research and Innovation: Stay abreast of the latest … data engineering, including experience with ETL processes, data modeling, and database management, as well as SQL. Knowledge of healthcare industry standards, regulations, and data interoperability. Familiarity with AI and machine learning concepts, and a willingness to learn and apply them in a healthcare context. At least 6 Months experience working with Gen AI. Excellent communication and interpersonal skills. More ❯

the best talent across the UK and Europe. We’re building a team of consultants who are passionate about placing top talent within technologies including Software Engineering, Data, AI & Machine Learning, ERP, Cloud, and Data Centre software or hardware. Our London team is hiring experienced recruiters who take ownership of their careers, thrive in high-trust environments, and … understanding of recruitment and sourcing processes Evidence of achieving and exceeding financial/revenue targets Experience within one or more of our core technology areas: Software Engineering, Data, AI & Machine Learning, ERP (SAP/Oracle/Salesforce/MS Dynamics), Cloud (AWS/Azure/GCP), or Data Centre software/hardware Perks and Benefits Holiday – 30 days More ❯

the best talent across the UK and Europe. We’re building a team of consultants who are passionate about placing top talent within technologies including Software Engineering, Data, AI & Machine Learning, ERP, Cloud, and Data Centre software or hardware. Our London team is hiring experienced recruiters who take ownership of their careers, thrive in high-trust environments, and … understanding of recruitment and sourcing processes Evidence of achieving and exceeding financial/revenue targets Experience within one or more of our core technology areas: Software Engineering, Data, AI & Machine Learning, ERP (SAP/Oracle/Salesforce/MS Dynamics), Cloud (AWS/Azure/GCP), or Data Centre software/hardware Perks and Benefits Holiday – 30 days More ❯

Scientist to join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share and build … deeper connections with their customers. Key Responsibilities Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights. Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions. Prototype and validate new technical ideas, bringing cutting-edge research into production. Work with clients to translate insights into actionable strategies that drive growth. … years’ experience working with Python for data preparation, aggregation, and transformation. Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets (>1TB). Experience building NLP and Computer Vision products with engaged user bases. Knowledge of open-source NLP & CV libraries and ability to apply More ❯

designed to drive innovation and growth across their analytics function. You’ll be joining a high-performing team at the forefront of fraud & financial crime prevention, leveraging AI 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 financial crime solutions. Working with external stakeholders to bring on new business and develop existing relationships Collaborating with senior leadership and clients to deliver impactful solutions. Your Skills and … Strong experience in financial crime or forensic analytics. Proven leadership experience managing technical teams. Deep understanding of Python and its application in financial crime analytics. Experience with AI and machine learning techniques. Background in selling financial crime products or solutions. Experience working within a UK bank or consultancy environment. Strong domain knowledge across financial crime, fraud, conduct risk More ❯

designed to drive innovation and growth across their analytics function. You’ll be joining a high-performing team at the forefront of fraud & financial crime prevention, leveraging AI 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 financial crime solutions. Working with external stakeholders to bring on new business and develop existing relationships Collaborating with senior leadership and clients to deliver impactful solutions. Your Skills and … Strong experience in financial crime or forensic analytics. Proven leadership experience managing technical teams. Deep understanding of Python and its application in financial crime analytics. Experience with AI and machine learning techniques. Background in selling financial crime products or solutions. Experience working within a UK bank or consultancy environment. Strong domain knowledge across financial crime, fraud, conduct risk More ❯

First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution. The role operates globally in collaboration with teams engineering teams across core products. Are you passionate about Data and … First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution. The role operates globally in collaboration with teams engineering teams across core products. What are we looking for? Proven More ❯

First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution. The role operates globally in collaboration with teams engineering teams across core products. Are you passionate about Data and … First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution. The role operates globally in collaboration with teams engineering teams across core products. What are we looking for? Proven More ❯

to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable More ❯