1 to 25 of 233 Machine Learning Jobs in the City of London

Positions: Machine Learning Engineer & Machine Learning Researcher My client is a scaling robotics start-up that is creating autonomous industrial robots capable of handling intricate, dexterous tasks. They're looking for Senior ML Engineers who want the freedom to bridge the gap between state-of-the-art research in embodied AI and real-world systems. You'll be joining a team of accomplished … and industrial know-how, who will help nurture and develop you to the next level! Salary: Up to £150k Location: London Onsite: Most days What You’ll Be Doing (Machine Learning Engineer): Implement and scale state-of-the-art AI algorithms to be deployed on real-world robotic systems Build robust data pipelines and work with multi-modal More ❯

in healthcare. They’re now looking for a Director of Machine Learning to join on an initial 6-month contract leading a talented team of around 20 ML engineers and data scientists. 📍 London | Hybrid (2 days/week onsite) 📅 Start: ASAP | ⏳ 6-month contract 💰 Outside IR35 - rate depending on experience The Opportunity Lead, coach and inspire a high … performing team of 20+ ML engineers, data scientists and applied researchers. Drive the ML strategy and roadmap, ensuring models are innovative, scalable and embedded at the core of the product. Partner with Product and Commercial leaders to align technical work with customer value and business outcomes. Push the boundaries of AI, NLP and machine learning applications. Solve complex … product challenges, working with API-first and headless architectures. Act as a thought leader, representing ML at exec level and guiding stakeholders on opportunities and trade-offs. About You Experience as a Director/Head of Machine Learning in a product-led tech company. Strong expertise in machine learning, NLP and applied AI. Proven success leading More ❯

in healthcare. They’re now looking for a Director of Machine Learning to join on an initial 6-month contract leading a talented team of around 20 ML engineers and data scientists. 📍 London | Hybrid (2 days/week onsite) 📅 Start: ASAP | ⏳ 6-month contract 💰 Outside IR35 - rate depending on experience The Opportunity Lead, coach and inspire a high … performing team of 20+ ML engineers, data scientists and applied researchers. Drive the ML strategy and roadmap, ensuring models are innovative, scalable and embedded at the core of the product. Partner with Product and Commercial leaders to align technical work with customer value and business outcomes. Push the boundaries of AI, NLP and machine learning applications. Solve complex … product challenges, working with API-first and headless architectures. Act as a thought leader, representing ML at exec level and guiding stakeholders on opportunities and trade-offs. About You Experience as a Director/Head of Machine Learning in a product-led tech company. Strong expertise in machine learning, NLP and applied AI. Proven success leading More ❯

in developing new index methodologies. 🧠 About the Role Scientific Beta is seeking a highly experienced and innovative Lead Expert in Natural Language Processing (NLP) and Machine Learning (ML) to spearhead the development of next-generation sustainability and financial metrics. This is a unique opportunity to leverage cutting-edge language models and insights at the intersection of empirical finance … driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. 📌 Key Responsibilities Lead the conceptualization, design, and implementation of NLP and ML models for extracting insights related to sustainability and financial performance from diverse textual sources. Develop and apply state-of-the-art language models to extract relevant information and integrate academic … financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

in developing new index methodologies. 🧠 About the Role Scientific Beta is seeking a highly experienced and innovative Lead Expert in Natural Language Processing (NLP) and Machine Learning (ML) to spearhead the development of next-generation sustainability and financial metrics. This is a unique opportunity to leverage cutting-edge language models and insights at the intersection of empirical finance … driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. 📌 Key Responsibilities Lead the conceptualization, design, and implementation of NLP and ML models for extracting insights related to sustainability and financial performance from diverse textual sources. Develop and apply state-of-the-art language models to extract relevant information and integrate academic … financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

Machine Learning Engineer and Data Engineer Location: London Type: Full-time | Permanent | Office based Salary: up to £100,000 (ML Engineer) and up to £80,000 (Data Engineer) About Us We’re an early-stage startup on a mission to. As we scale, we’re looking for a Machine Learning Engineer and Data Engineer who are … products from the ground up, shape the future of our technology, and make a measurable impact. The Role You’ll play a key role in designing, building, and deploying ML models that power our core product. This isn’t just about research — it’s about turning ideas into features customers love. You’ll work closely with our founding team, own … as we grow. What You’ll Do Design, train, and deploy machine learning models to solve real-world problems. Collaborate with product and engineering teams to integrate ML into customer-facing features. Build scalable data pipelines and infrastructure to support model training and inference. Experiment with new algorithms and techniques, bringing the latest research into production. Monitor and More ❯

Machine Learning Engineer and Data Engineer Location: London Type: Full-time | Permanent | Office based Salary: up to £100,000 (ML Engineer) and up to £80,000 (Data Engineer) About Us We’re an early-stage startup on a mission to. As we scale, we’re looking for a Machine Learning Engineer and Data Engineer who are … products from the ground up, shape the future of our technology, and make a measurable impact. The Role You’ll play a key role in designing, building, and deploying ML models that power our core product. This isn’t just about research — it’s about turning ideas into features customers love. You’ll work closely with our founding team, own … as we grow. What You’ll Do Design, train, and deploy machine learning models to solve real-world problems. Collaborate with product and engineering teams to integrate ML into customer-facing features. Build scalable data pipelines and infrastructure to support model training and inference. Experiment with new algorithms and techniques, bringing the latest research into production. Monitor and 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 ❯

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 ❯

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 ❯

global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does … not provide visa sponsorship. 🚀 What You'll Do As a Machine Learning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: Developing, training, and validating state-of … critical in advancing the capabilities of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of professional experience in Machine Learning Engineering or a similar role. Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. Proven experience with computer vision and a More ❯

global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does … not provide visa sponsorship. 🚀 What You'll Do As a Machine Learning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: Developing, training, and validating state-of … critical in advancing the capabilities of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of professional experience in Machine Learning Engineering or a similar role. Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. Proven experience with computer vision and a More ❯

Graduate Technical Recruiter - Trading Technology & Machine Learning About Algo Capital: Algo Capital is a leading global algorithmic talent firm specializing in Quantitative Trading and Trading Technology recruitment across the US, EMEA, and APAC. We partner with the most exclusive clients in the trading industry, who are pushing the boundaries of AI, machine learning, and low-latency … of the art solutions and platforms. We're seeking a driven Graduate Technical Recruiter to join our team, focusing on C++, Python, Low Latency systems, and advanced AI/ML roles. Who You Are: Recent STEM or related field graduate with a strong interest in technical recruitment for Finance, Trading Technology, or FinTech Entrepreneurial mindset Eager to learn about recruiting … Comprehensive training (1:1 mentorship) in Trading Technology and AI recruitment Collaborative, high performing team culture Networking with top-tier professionals and technologists in Trading Technology and AI/ML Clear structured career progression path in Quantitative technical recruitment This is an excellent opportunity to build a lasting career in quantitative technology, if you would like further information please apply More ❯

a top-tier quantitative firm. International Talent: Yes, international applicants are encouraged. These roles are for a professional with a global perspective, ready to apply their sophisticated expertise in machine learning to London’s prestigious financial markets. Are you interested in joining environments where your research will directly influence strategies with a substantial AUM? Individuals who are seeking … the future of quantitative and discretionary trading should take this opportunity seriously. 🔷 The Profile – Your Expertise We’re looking for professionals with a global perspective, skilled in applying advanced machine learning techniques to financial data. They have a demonstrable history of developing and deploying sophisticated models in institutional settings, with deep expertise in risk … management and the ability to integrate cutting-edge research into scalable, robust trading platforms that meet the highest standards of institutional finance. Career Path: Career trajectories focused on applying ML to solve complex problems in global, institutional trading environments. Histories of delivering high-impact projects that directly influence multi-million-dollar portfolios. Projects And Performance: Experience developing models for global More ❯

days in office) Up to £125,000 + Equity About the Role A fast-scaling climate tech company backed by investors is looking for a Director of AI & ML to lead the development of advanced machine learning solutions that help global banks, insurers, and real estate firms understand and act on physical climate risk. You’ll define the … ML strategy, shape a high-impact team, and deliver real-world innovation across generative AI, geospatial modelling, and time-series forecasting. Key Responsibilities Own and evolve the company’s AI & ML strategy in line with product and customer priorities Lead, mentor, and grow a high-performing team of ML Engineers Take prototypes through to production, delivering meaningful product features powered … by GenAI and predictive modelling Collaborate with Science and Engineering to integrate ML with physics-based climate models Communicate complex technical concepts in simple, outcome-oriented terms for customers and cross-functional teams Your work will focus on delivering high-value insights and solutions, including: Developing generative AI tools for geospatial risk assessment Building models to project the impact of More ❯

A PhD level Machine Learning Scientist is needed to join this amazing research team based near King’s Cross. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning. You will play a key role in designing, implementing, and advancing … cutting-edge methods in: Reinforcement Learning (RL) Large Language Models (LLMs) Optimisation for Deep Learning You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications. Experience Required: A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field … scale Optimisation for deep learning Good programming skills in Python and experience with deep learning frameworks A passion for advancing AI research and contributing to the global ML community Key selling points Work on cutting-edge AI challenges with a talented, multidisciplinary team Collaborate with leading academic and industry partners Access to high-performance computing resources Publish your More ❯

A PhD level Machine Learning Scientist is needed to join this amazing research team based near King’s Cross. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning. You will play a key role in designing, implementing, and advancing … cutting-edge methods in: Reinforcement Learning (RL) Large Language Models (LLMs) Optimisation for Deep Learning You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications. Experience Required: A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field … scale Optimisation for deep learning Good programming skills in Python and experience with deep learning frameworks A passion for advancing AI research and contributing to the global ML community Key selling points Work on cutting-edge AI challenges with a talented, multidisciplinary team Collaborate with leading academic and industry partners Access to high-performance computing resources Publish your More ❯

research and high-performance trading. You’ll join a highly skilled Research Engineering team, in a fast-moving, high-volume environment. This role is all about taking cutting-edge ML research projects and moving them into production — building robust pipelines that allow models to trade with reliability and speed. You’ll be hands-on with code (around 80% of your … time), collaborating closely with ML scientists, and owning solutions from ingestion to deployment. Key Responsibilities Collaborate with ML scientists to ingest and process large-scale, high-frequency market data. Build and maintain pipelines for training, backtesting, and deploying ML models into a live trading environment. Ensure production systems are reliable, scalable, and optimised for ultra-low latency trading. Take ownership … of end-to-end solutions, from research to execution. What We’re Looking For 5+ years’ experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI More ❯

the opportunity to work with market leading business & retailers! They are looking for a Data Scientist to join their Data Science team! RESPONSIBILITIES: Work on designing and building advanced ML models - including propensity and clustering Apply machine learning, statistical, and econometric methods to a range of other customer data science problems Working closely within a team to understand … troubleshoot, and maintain machine learning models Maintain and enhance existing ML models, ensuring all models are deployed in production are monitored. Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven … communication skills Knowledge of databases and SQL NEXT STEPS: Register your interest by sending your CV to Joseph Gregory via the Apply link on this page. KEYWORDS: Data Science, Machine Learning, Retailers, Pricing, Price optimisation, Demand Forecasting, Customer, cluster, propensity More ❯

role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. We are looking for … making Translate business requirements into technical specifications Required Skills & Experience Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines, and ETL processes Familiarity with … cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query More ❯

role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. We are looking for … making Translate business requirements into technical specifications Required Skills & Experience Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines, and ETL processes Familiarity with … cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query 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 ❯

a new Senior Data Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such … data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking … For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value More ❯

a new Lead Data Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such … data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. Mentor and guide junior … with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such More ❯