26 to 50 of 233 Machine Learning Jobs in the City of London

Director of Data Science/Machine Learning London - 3 days a week Up to £160,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with advanced AI and data science. This is a unique opportunity to join a company that partners directly with … portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Director of Data Science 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 tied to … 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 More ❯

Science Manager to lead a core team responsible for critical models inside their product. We're in need of a leader to manage a team of excellent Data Scientists & Machine Learning Engineers as the business continues to grow & invest in itself. Someone who can work alongside key business stakeholders, driving the development of the main product through best … in-class Machine Learning solutions. Looking for a role that combines technical brilliance with broader strategy? Check out the summary below! 💰 Salary: £120,000 + bonus 💻 Benefits: Uncapped bonus structure, work from abroad etc. 🚀 Industry/Type of business: Fintech 🏠 Remote working: Hybrid, London 🧩 Interview process: 3 stages 📢 Reporting to: Senior Engineering Manager & C-Suite 👏 Company size … manage a team of 7 Machine Learning focused Data Scientists, including senior IC's and juniors Strategic skills in planning, roadmapping & team management The hands-on classic ML skills needed to be an effective over-the-shoulder manager driving team growth & expertise (80% hands-off, 20% hands-on) Python, SQL, Snowflake etc. The ability to engage a broad More ❯

and customer events while contributing to technical blog posts and educational materials. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience 5+ years of experience in Computer Vision, Machine Learning, or applied AI roles. Excellent … resilient, and able to communicate clearly with technical and non-technical stakeholders. Proficiency in Python and familiarity with the YOLO ecosystem. Hands-on experience with OpenCV, PyTorch, and classical ML/CV concepts. Strong understanding of end-to-end model lifecycles, including data collection, preparation, training, evaluation, and deployment. Experience with Docker and comfort working across Linux, macOS, and Windows … HUB. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at … the forefront of the market. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across the product suite Working closely with the Credit and … model enhancements YOUR SKILLS AND EXPERIENCE : Essential to have experience developing predictive models within a Credit Risk setting SQL and Python experience is essential Essential to have experience using Machine Learning techniques to develop non-linear models Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech SALARY AND BENEFITS Base salary More ❯

Profitable FinTech Scale-Up Hybrid (London) or remote within the UK Up to £160,000 per annum plus stock options Python | Django | FastAPI | AWS | Rust | Postgres | Event-Driven Architecture | Machine Learning Principal Engineer - We're working with a leading fintech scale-up that's transforming how small businesses access finance. Backed by a strong track record and an … collaborative leader who has mentored teams and influenced product direction. Experience working with complex domain models and evolving codebases. Bonus skills include : Python, Django, PostgreSQL, event-driven data systems, machine learning familiarity and Front End awareness. If you're a Principal Engineer looking to combine hands-on technical leadership with real strategic influence in a product-led fintech … Profitable FinTech Scale-Up Hybrid (London) or remote within the UK Up to £160,000 per annum plus stock options Python | Django | FastAPI | AWS | Rust | Postgres | Event-Driven Architecture | Machine Learning Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds. More ❯

voice across all technical content, ensuring it aligns with the Ultralytics brand. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models to the community. 🛠️ Skills and Experience 5+ years of experience in technical writing, preferably for a developer audience in the AI or software industry. … on experience with static site generators like MkDocs or Sphinx. Basic proficiency in Python to understand and document code examples and APIs. A strong interest in or experience with machine learning, computer vision, and object detection models like YOLO. Experience documenting APIs, SDKs, and other developer tools. Knowledge of SEO principles and how to apply them to technical … projects. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

voice across all technical content, ensuring it aligns with the Ultralytics brand. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models to the community. 🛠️ Skills and Experience 5+ years of experience in technical writing, preferably for a developer audience in the AI or software industry. … on experience with static site generators like MkDocs or Sphinx. Basic proficiency in Python to understand and document code examples and APIs. A strong interest in or experience with machine learning, computer vision, and object detection models like YOLO. Experience documenting APIs, SDKs, and other developer tools. Knowledge of SEO principles and how to apply them to technical … projects. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

Lead Machine Learning Engineer Up to £100,000 Company: They are an AI-driven climate risk analytics platform that partners with businesses within Insurance … Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change. Responsibilities: Lead, mentor, and grow a high-performing team of ML engineers. Combine ML with physics-based risk models (flooding, tropical cyclones, wildfires) to deliver grounded, high-impact solutions. Establish gold-standard practices for evaluation, deployment, observability, and maintainability in ML More ❯

Lead Machine Learning Engineer Up to £100,000 Company: They are an AI-driven climate risk analytics platform that partners with businesses within Insurance … Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change. Responsibilities: Lead, mentor, and grow a high-performing team of ML engineers. Combine ML with physics-based risk models (flooding, tropical cyclones, wildfires) to deliver grounded, high-impact solutions. Establish gold-standard practices for evaluation, deployment, observability, and maintainability in ML More ❯

decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. … of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning … deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience More ❯

decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. … of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning … deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience More ❯

NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to deliver measurable business value & growth. Understand and maintain a RADAR of technologies, in order to understand the risk and reward profile of selecting a technology to capitalise on an … a background in computer science, machine learning, data science or a related STEM field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs-with a track record of translating complex models into real-world business … solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

data into valuable insights, supporting smarter, evidence-based decisions across the business. This is a fantastic opportunity for a recent graduate who’s passionate about data, problem-solving, and learning from experienced professionals in a collaborative environment. In this role, you’ll: 📊 Analyse datasets to uncover patterns, trends, and actionable insights 🧠 Apply statistical and machine learning techniques … Looking For: A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field Familiarity with Python, R, or another programming language for data analysis Basic knowledge of machine learning concepts and statistical methods Strong analytical and problem-solving skills Good communication skills, with the ability to explain technical findings in simple terms Nice to Have: Experience More ❯

data into valuable insights, supporting smarter, evidence-based decisions across the business. This is a fantastic opportunity for a recent graduate who’s passionate about data, problem-solving, and learning from experienced professionals in a collaborative environment. In this role, you’ll: 📊 Analyse datasets to uncover patterns, trends, and actionable insights 🧠 Apply statistical and machine learning techniques … Looking For: A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field Familiarity with Python, R, or another programming language for data analysis Basic knowledge of machine learning concepts and statistical methods Strong analytical and problem-solving skills Good communication skills, with the ability to explain technical findings in simple terms Nice to Have: Experience More ❯

machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance … Looking For: 4+ years of experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills More ❯

machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance … Looking For: 4+ years of experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills More ❯

methodology. Data Scientist tasks Build robust, containerised data science capabilities which are scalable across projects and products (Docker, Kubernetes) Collaborate with technical teams to write production-ready code, ensuring ML and AI models are deployable for your clients and projects. Collaborate with software engineers to design and deploy machine learning services that are accessible via APIs for use … in GUIs or direct access. Research, analyse and apply data sets using a variety of statistical and machine learning techniques. Support the analytical needs of the technical team inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by each project. Review the execution of software solutions and how these perform for the More ❯

learning and forecasting libraries. Work with product and data science management to develop key results for given product objectives. Establish scalable and efficient practices for data mining, ML model development, validation and inference. Building demand forecasting models Stay up-to-date on the most recent advances in AI and machine learning Requirements: MSc Degree in Computer More ❯

company that’s helping major consumer brands turn first-party data into real commercial value. As a Senior Data Scientist, you’ll own the end-to-end delivery of machine learning models that drive revenue growth, improve customer retention, and optimise decision-making. You’ll work on high-impact challenges like forecasting, churn prediction, customer segmentation, and commercial … code quality Mentor junior data scientists and support the growth of the team We’re looking for someone with: 3–5 years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in … production A track record of working across the full ML lifecycle in a fast-paced environment Excellent communication and storytelling skills—able to explain models and outcomes clearly If this role looks of interest, please reach out. This role cannot offer sponsorship. More ❯

company that’s helping major consumer brands turn first-party data into real commercial value. As a Senior Data Scientist, you’ll own the end-to-end delivery of machine learning models that drive revenue growth, improve customer retention, and optimise decision-making. You’ll work on high-impact challenges like forecasting, churn prediction, customer segmentation, and commercial … code quality Mentor junior data scientists and support the growth of the team We’re looking for someone with: 3–5 years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in … production A track record of working across the full ML lifecycle in a fast-paced environment Excellent communication and storytelling skills—able to explain models and outcomes clearly If this role looks of interest, please reach out. This role cannot offer sponsorship. More ❯

learning and forecasting libraries. Work with product and data science management to develop key results for given product objectives. Establish scalable and efficient practices for data mining, ML model development, validation and inference. Building demand forecasting models Stay up-to-date on the most recent advances in AI and machine learning Requirements: PhD Degree in Computer More ❯

ownership of a high-impact data platform initiative. Influence cross-functional teams and senior stakeholders. Drive innovation in data architecture, governance, and analytics. Collaborate with data scientists to deploy machine learning models. Gain visibility across multiple business units and sectors. Key responsibilities: Lead the design and implementation of scalable, secure data pipelines and architectures. Define and enforce best … Formation. Strong proficiency in Python and SQL. Proven leadership in data engineering strategy and execution. Deep understanding of market data and its business applications. Experience with Databricks, Snowflake, and machine learning integration is a plus. The ideal candidate: A strategic thinker with a track record of delivering enterprise-scale data solutions. A collaborative leader who energises and inspires More ❯

will be joining an organisation where data drives strategic decision-making within the property space. You’ll lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be a great opportunity for someone … their career - I.e. Someone at the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and mentor a cross-functional team of scientists and engineers. Stay hands-on where needed, guiding model design, code reviews, and architecture decisions. … We’re Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and More ❯

partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Principal Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains - from manufacturing to customer experience and commercial optimisation. Working closely with a multidisciplinary team, you’ll have the … 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 ❯

units. Key Responsibilities: * Design and maintain scalable data pipelines, warehouses, and lakes using AWS technologies. * Implement robust data governance, quality, and security practices. * Collaborate with data scientists to deploy machine learning models. * Lead or contribute to strategic planning, risk management, and stakeholder engagement. * Drive innovation through advanced analytics and research-based problem solving. To be successful you should … data security best practices. Strong knowledge of market data and its applications. Some other highly valued skills may include: Experience with other data engineering tools and technologies. Knowledge of machine learning and data science concepts. Familiarity with Barclays' data strategy and practices. Please send me your CV is you meet these requirements and we can then arrange call More ❯