1 to 25 of 118 Remote Machine Learning Jobs in Central London

Machine Learning Engineer (SC Cleared) London (Hybrid) 2 Month Contract £550/day (Inside IR35) Machine … Learning Engineer needed with active SC Security Clearance, plus strong Databricks, MLFlow and MLOps experience. The ideal candidate will have a strong background in Machine Learning (ML) Engineering and in-depth expertise in operationalising models in Databricks, MLFlow and MLOps environments. A chance to work with a leading global IT and Digital transformation business on the delivery … with defined schedule, and that multiple models feeding oneanother take dependencies into account. Capturing data drift, concept drift, model performance degradation signals and ensuring model retrain. Defining/maintaining ML Frameworks (Python, R, Matlab templates), and looking for common reusable code that could be used by future models. Implementing CI/CD pipelines for ML models and automating deployment. More ❯

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data … remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that can read, understand, and structure … world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them into structured insights. ⚙ Hands-On ML Experience – Learn the full ML workflow — from cleaning data to deploying models and monitoring them in production. 📈 Mentorship & Growth – Work closely with experienced ML engineers who will guide your technical More ❯

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data … remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that can read, understand, and structure … world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them into structured insights. ⚙ Hands-On ML Experience – Learn the full ML workflow — from cleaning data to deploying models and monitoring them in production. 📈 Mentorship & Growth – Work closely with experienced ML engineers who will guide your technical More ❯

We’re Hiring: Data Scientist/Machine Learning Engineer Location: Sheffield/London (hybrid) Employment Type: Contract We are seeking a highly skilled Data Scientist/Machine Learning Engineer to join our team. This role involves working with large datasets, applying advanced analytics, and building predictive models to drive actionable business insights. Responsibilities: Preprocess structured and … include all relevant information for analytic systems Process, cleanse, and validate the integrity of data Analyze large volumes of data to identify patterns and solutions Develop predictive systems and machine learning algorithms Present analytical results clearly to stakeholders Propose solutions and strategies for business challenges Perform data mining and extract usable insights from multiple data sources Use machine … stack (VMs, middleware like IIS/Apache, hypervisors, databases, etc.) and OTLP formatting/structuring Ability to correlate streaming OLTP data from multiple components and generate actionable insights using ML models Strong analytical and problem-solving skills Experience with feature selection, classifier creation, and optimization More ❯

We’re Hiring: Data Scientist/Machine Learning Engineer Location: Sheffield/London (hybrid) Employment Type: Contract We are seeking a highly skilled Data Scientist/Machine Learning Engineer to join our team. This role involves working with large datasets, applying advanced analytics, and building predictive models to drive actionable business insights. Responsibilities: Preprocess structured and … include all relevant information for analytic systems Process, cleanse, and validate the integrity of data Analyze large volumes of data to identify patterns and solutions Develop predictive systems and machine learning algorithms Present analytical results clearly to stakeholders Propose solutions and strategies for business challenges Perform data mining and extract usable insights from multiple data sources Use machine … stack (VMs, middleware like IIS/Apache, hypervisors, databases, etc.) and OTLP formatting/structuring Ability to correlate streaming OLTP data from multiple components and generate actionable insights using ML models Strong analytical and problem-solving skills Experience with feature selection, classifier creation, and optimization More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

challenges, whether it’s extracting structured data from contracts, building predictive models for compliance risk, or uncovering patterns in complex legal datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and legal subject-matter experts to design, develop, and deploy models that transform how organisations interact with legal information. What You’ll Be Doing: Designing and … building machine learning and NLP models to process and analyse large volumes of legal and business text. Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment. Applying statistical, deep learning, and neuro-symbolic AI techniques to generate actionable insights. Contributing to experimental research, model prototyping, and performance benchmarking. Presenting findings … building a compliance risk prediction tool using large language models. Strong programming skills in Python (NumPy, pandas, scikit-learn, matplotlib); R is also welcome. A solid understanding of core ML concepts, NLP techniques, data wrangling, and model evaluation. Proficiency with SQL and experience handling large, unstructured datasets. A passion for solving complex problems using data and a continuous learning More ❯

challenges, whether it’s extracting structured data from contracts, building predictive models for compliance risk, or uncovering patterns in complex legal datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and legal subject-matter experts to design, develop, and deploy models that transform how organisations interact with legal information. What You’ll Be Doing: Designing and … building machine learning and NLP models to process and analyse large volumes of legal and business text. Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment. Applying statistical, deep learning, and neuro-symbolic AI techniques to generate actionable insights. Contributing to experimental research, model prototyping, and performance benchmarking. Presenting findings … building a compliance risk prediction tool using large language models. Strong programming skills in Python (NumPy, pandas, scikit-learn, matplotlib); R is also welcome. A solid understanding of core ML concepts, NLP techniques, data wrangling, and model evaluation. Proficiency with SQL and experience handling large, unstructured datasets. A passion for solving complex problems using data and a continuous learning More ❯

recruitment pipelines, source top data science candidates, build lasting relationships and contribute to our continued growth as a business. Company Snapshot Higher specialises in placing exceptional data science and machine learning talent in the hardest to fill vacancies. We work with companies of every shape and size, offering bespoke end-to-end recruitment services and the opportunity to … plug into our unrivalled global network of data scientists, machine learning engineers, data engineers and data leaders. Higher has become synonymous with quality. We strive to provide an unmatched level of service to all our clients, demonstrating the enduring value of long-term recruitment partnerships in the competitive AI & Data Science market. Our slogan is ‘raising the bar … and be empowered to live a fully integrated life. Job Description As an Executive Search Consultant , you will be immersed in the most cutting-edge fields of technology – AI & machine learning. Developments in this space are fundamentally transforming how we live our lives, how businesses operate and how they deliver products to consumers. You will learn about these developments More ❯

recruitment pipelines, source top data science candidates, build lasting relationships and contribute to our continued growth as a business. Company Snapshot Higher specialises in placing exceptional data science and machine learning talent in the hardest to fill vacancies. We work with companies of every shape and size, offering bespoke end-to-end recruitment services and the opportunity to … plug into our unrivalled global network of data scientists, machine learning engineers, data engineers and data leaders. Higher has become synonymous with quality. We strive to provide an unmatched level of service to all our clients, demonstrating the enduring value of long-term recruitment partnerships in the competitive AI & Data Science market. Our slogan is ‘raising the bar … and be empowered to live a fully integrated life. Job Description As an Executive Search Consultant , you will be immersed in the most cutting-edge fields of technology – AI & machine learning. Developments in this space are fundamentally transforming how we live our lives, how businesses operate and how they deliver products to consumers. You will learn about these developments More ❯

processing. Responsibilities Develop, train, and optimise computer vision models for real world applications. Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation. Deploy ML models into production, ensuring scalability, efficiency, and reliability. Collaborate closely with data scientists, software engineers, and product teams to translate business needs into technical solutions. Stay up to date with … in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or … with transformer-based vision models (ViT, CLIP, SAM). Familiarity with real-time inference and optimisation (ONNX, TensorRT). Previous work on video analytics, 3D vision, or multi-modal ML projects. More ❯

processing. Responsibilities Develop, train, and optimise computer vision models for real world applications. Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation. Deploy ML models into production, ensuring scalability, efficiency, and reliability. Collaborate closely with data scientists, software engineers, and product teams to translate business needs into technical solutions. Stay up to date with … in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or … with transformer-based vision models (ViT, CLIP, SAM). Familiarity with real-time inference and optimisation (ONNX, TensorRT). Previous work on video analytics, 3D vision, or multi-modal ML projects. 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 ❯

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 ❯

business challenges, developing models, and ensuring seamless deployment into production environments. Key Responsibilities Collaborate with clients to identify opportunities for AI-driven innovation. Design, develop, and optimise AI/ML models across areas such as machine learning, natural language processing, and computer vision. Perform data analysis and preprocessing to prepare datasets for model training. Deploy AI models into … support on AI tools and best practices. Stay current with emerging trends and advancements in AI technologies. About You The successful candidate will have: Proven experience delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google More ❯

business challenges, developing models, and ensuring seamless deployment into production environments. Key Responsibilities Collaborate with clients to identify opportunities for AI-driven innovation. Design, develop, and optimise AI/ML models across areas such as machine learning, natural language processing, and computer vision. Perform data analysis and preprocessing to prepare datasets for model training. Deploy AI models into … support on AI tools and best practices. Stay current with emerging trends and advancements in AI technologies. About You The successful candidate will have: Proven experience delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google More ❯

business challenges, developing models, and ensuring seamless deployment into production environments. Key Responsibilities Collaborate with clients to identify opportunities for AI-driven innovation. Design, develop, and optimise AI/ML models across areas such as machine learning, natural language processing, and computer vision. Perform data analysis and preprocessing to prepare datasets for model training. Deploy AI models into … support on AI tools and best practices. Stay current with emerging trends and advancements in AI technologies. About You The successful candidate will have: Proven experience delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google More ❯

and building data processing and streaming systems Leading initiatives on data storage, optimisation, and database management Applying statistical methods, hypothesis testing, and model validation Developing and evaluating AI/ML models to deliver actionable insights Collaborating with engineering teams to maintain data quality and scalability Communicating technical concepts effectively to non-technical stakeholders Visualising complex data through dashboards and reporting … data science practices About You 3+ years of experience with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data extraction, manipulation, and analysis from multiple sources Proficiency in modern programming practices and collaborative coding … in multidisciplinary teams What’s on Offer? A chance to join a pioneering company at the forefront of data science and predictive analytics Exposure to cutting-edge AI/ML technologies and tools A collaborative and innovative culture focused on continuous learning Competitive salary and benefits package If you are passionate about data science and want to play a More ❯

and building data processing and streaming systems Leading initiatives on data storage, optimisation, and database management Applying statistical methods, hypothesis testing, and model validation Developing and evaluating AI/ML models to deliver actionable insights Collaborating with engineering teams to maintain data quality and scalability Communicating technical concepts effectively to non-technical stakeholders Visualising complex data through dashboards and reporting … data science practices About You 3+ years of experience with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data extraction, manipulation, and analysis from multiple sources Proficiency in modern programming practices and collaborative coding … in multidisciplinary teams What’s on Offer? A chance to join a pioneering company at the forefront of data science and predictive analytics Exposure to cutting-edge AI/ML technologies and tools A collaborative and innovative culture focused on continuous learning Competitive salary and benefits package If you are passionate about data science and want to play a More ❯

and translating data into clear, actionable insights. You’ll work across advanced market research techniques, segmentation, max diff, conjoint, pricing, Turf etc within a collaborative team that values curiosity, learning and innovation. What you'll be doing: Leading end-to-end data science projects, primarily using survey data Translating business questions into analytical solutions with practical impact Mentoring junior … analysts and supporting team learning and development Presenting findings to clients and internal stakeholders in a clear and engaging way Exploring new approaches, including machine learning and AI Collaborating with colleagues across disciplines to design the right solutions What we’re looking for: At least 3 to 5 years of experience in data science, with a strong … focus on survey data Professional-level proficiency in Python or R Strong understanding of statistical and machine learning methods such as clustering and regression Hands-on experience with segmentation and preferably conjoint analysis Ability to communicate complex methods and results in plain English Experience leading projects and building relationships internally and externally A collaborative, proactive approach to solving More ❯

and translating data into clear, actionable insights. You’ll work across advanced market research techniques, segmentation, max diff, conjoint, pricing, Turf etc within a collaborative team that values curiosity, learning and innovation. What you'll be doing: Leading end-to-end data science projects, primarily using survey data Translating business questions into analytical solutions with practical impact Mentoring junior … analysts and supporting team learning and development Presenting findings to clients and internal stakeholders in a clear and engaging way Exploring new approaches, including machine learning and AI Collaborating with colleagues across disciplines to design the right solutions What we’re looking for: At least 3 to 5 years of experience in data science, with a strong … focus on survey data Professional-level proficiency in Python or R Strong understanding of statistical and machine learning methods such as clustering and regression Hands-on experience with segmentation and preferably conjoint analysis Ability to communicate complex methods and results in plain English Experience leading projects and building relationships internally and externally A collaborative, proactive approach to solving 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: 3–7 years’ 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: 3–7 years’ 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 ❯

Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate … Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/… A Bonus If You Have: Experience in finance: Prior exposure to financial data or working in a financial services environment is a plus. Curiosity and drive: A passion for learning and staying updated with the latest trends in data science and finance. Problem-solving mindset: Ability to think critically and approach challenges with innovative solutions. The Benefits: Growth opportunities More ❯

Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate … Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/… A Bonus If You Have: Experience in finance: Prior exposure to financial data or working in a financial services environment is a plus. Curiosity and drive: A passion for learning and staying updated with the latest trends in data science and finance. Problem-solving mindset: Ability to think critically and approach challenges with innovative solutions. The Benefits: Growth opportunities More ❯