51 to 75 of 125 Machine Learning Engineer Jobs in London

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 … 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 learning tools to select features, create, and optimize classifiers Qualifications: Programming Skills: Expertise in Python; Scala/Java knowledge is an advantage OpenTelemetry Expertise: Strong understanding of OpenTelemetry 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 More ❯

Machine Learning Engineer The Data + Science Team At Deliveroo we have a world-class data & science organisation, with a mission to enable the highest quality human and machine decision-making. We have over 200 Machine Learning Engineers, Data Scientists, Data Analysts, and Analytics Engineers working throughout the company in product, business and platform … teams across all sides of our marketplace (consumer, delivery, restaurants, grocery, and retail). Our interview process is team-agnostic. As an MLE, you will develop the algorithmic and machine-learning systems that power Deliveroo. You will work in a cross-functional team alongside engineers, data scientists and product managers to develop systems that make automated decisions at … in optimising their presence on Deliveroo, for example by recommending that they improve their menus or photography, or add a popular dish. Requirements 3+ years' experience as a ML Engineer or Data Scientist 3+ years' experience in Python Experience productionising ML models Experience using tools like Git, Docker, Kubernetes, CircleCI You know the fundamentals of machine learning More ❯

driven dialogue. This unique position of daily directed guidance stands to redefine primary care while helping people live happier, healthier, and longer. Job Summary We're looking for a Machine Learning Engineer with a passion for developing impactful healthcare solutions using wearable data. You'll play a key role in building real-time, FDA-compliant algorithms that … starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Responsibilities Design and implement machine learning models for real-time analysis of wearable biosignal data (e.g., ECG, PPG, accelerometer). Develop algorithms that meet clinical-grade performance standards for use in regulated environments. … including performance metrics like sensitivity, specificity, ROC-AUC, and precision-recall. Contribute to technical documentation and regulatory submissions for medical-grade software. Requirements/Qualifications: MS or PhD in Machine Learning, Biomedical Engineering, Computer Science, or a related field. 3-5+ years of experience applying machine learning to time-series or physiological data. Strong foundation More ❯

next generation of applications. This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. … fastest growing companies in our space and consistently rated as the best tool in the market by our customers. We have big plans ahead and are looking for a Machine Learning Engineer to join our ML team. The Role We are looking for an experienced Machine Learning Engineer to help us conduct research on … a proven track record of relevant publications and previous experience managing applied research teams. Requirements for the role include: Passion for solving ML problems Strong experience in Python and machine learning libraries such as OpenCV, PyTorch, TensorFlow, Fast.ai , and Keras Strong experience in mathematical programming, algorithmic problem solving, and applied machine learning What We Offer Competitive 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 … 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 … 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 ❯

of the AI revolution! The Team: Our team plays a pivotal role in enhancing the capabilities and efficiency of our advanced AI systems. We design solutions that enable our machine learning models to scale seamlessly and perform optimally in real-world applications and large scale research. Collaborating across InstaDeep, we directly impact projects in diverse fields including Life … Sciences, Logistics, Chip Design, and Quantum ML. The Role: We seek a highly skilled Machine Learning Engineer with a passion for tackling the challenges of large-scale ML development. You'll play a vital role in making our ambitious AI solutions a practical reality. If you thrive on system-level analysis, find joy in squeezing every ounce … of performance from hardware, and love diving deep into algorithm optimisation, this is the position for you. Responsibilities Scaling Expertise: Design and implement strategies to efficiently scale machine learning models across diverse hardware platforms (GPU/TPU). Performance Optimisation: Analyse and profile ML systems under heavy load, pinpointing bottlenecks, and implementing targeted optimisations. Distributed Systems Architecture: Create More ❯

Machine Learning Engineer - OR The Data + Science Team At Deliveroo we have a world-class data & science organisation, with a mission to enable the highest quality human and machine decision-making. We have over 200 Machine Learning Engineers, Data Scientists, Data Analysts, and Analytics Engineers working throughout the company in product, business and … community, with guest lecturers; a robust technical review process; a career progression framework; and plenty of opportunities to learn new things. The Role You will develop the algorithmic and machine-learning systems that power Deliveroo's delivery network. You will work in a cross-functional team alongside engineers, data scientists and product managers to develop systems that make … optimisation capabilities. You will report into a ML/OR Manager. This is a hybrid role that will be based in London. Requirements 3+ years' experience as a ML Engineer or Data Scientist You are someone who knows the fundamentals of machine learning and operational research and when they should be applied through a relevant PhD or 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 … data scientists, and part working 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 complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them 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 … data scientists, and part working 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 complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them More ❯

Social network you want to login/join with: Our SAIL (Solutions and AI Lab) practice is looking for an experienced Machine Learning Engineer to join the team. In SAIL, we build state-of-the-art AI solutions that help our clients with some of their biggest projects ranging from tools that support energy network risk forecasting … our clients solve their key data challenges. You will also support the growth of our team by helping them develop the necessary skills. Typical engagements include: Defining and implementing Machine Learning projects throughout their lifecyclefrom conception, data preparation, model engineering, evaluation, deployment, to monitoring and maintenance. Establishing and developing ML Ops frameworks and standards for clients, integrating them … build production solutions and contribute to our company's growth. You should be capable of advising clients and actively participating in technical delivery. Your skills include: Passion for solving machine learning problems, with a blend of technical delivery and consulting skills. Advanced degree in computer science, mathematics, physics, engineering, or related STEM field. Strong problem-solving skills with More ❯

with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles. Were looking for a Machine Learning Engineer to join the Generative ML Platform team at Snap Inc! What youll do: Develop ML-tools and ML-products that serve millions of Snapchatters on … the art GenAI pipelines for image and video generation Work closely with other Snap teams to introduce, prototype and launch new products Knowledge, Skills & Abilities: A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly Knowledge of mathematics and deep learning foundations Ability to effectively collaborate … 3+ years of research or engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of deep learning Experience with the major deep learning frameworks: PyTorch or TensorFlow Strong programming skills in Python or C++ Preferred Qualifications: Experience developing real-time software for mobile applications Knowledge More ❯

Lead Machine Learning Engineer - LLMs - Ramboll Tech At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As a Lead Machine Learning Engineer, you will create cutting-edge AI solutions, mentor others, and foster a culture of collaboration and growth. As the sparring partner for your … great fit if you bring some of the following qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. Minimum 5 years of experience in machine learning projects. At least 2 years in a senior or lead role. Proven expertise with modern LLMs in production. Leadership skills: Proven leadership in agile environments, strong communication … We are a growing team committed to diversity, inclusion, and a positive culture, focusing on solutions, growth, and mutual support. TEAM CULTURE We prioritize daily idea exchange, support, continuous learning, and diversity. Our hybrid work approach offers flexibility, with regular in-person meetings. ABOUT RAMBOLL Ramboll is a global architecture, engineering, and consultancy firm dedicated to sustainable change and More ❯

Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropics mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build … beneficial AI systems. About the role: As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, improving reasoning abilities in areas such as code generation and mathematics, and exploring reinforcement … learning for agentic/open-ended tasks. Representative projects: Develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models. Create tools and environments for models to interact with, enabling them to perform complex, open-ended tasks. Design and run experiments to enhance models' reasoning capabilities, particularly in code generation and mathematics. More ❯

Automotive. We are about to take the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic machine learning engineer to join our team. If all of this sounds exciting to you, we would love to talk. Note: We are currently recruiting for multiple positions … closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable Explore and manipulate 3D point cloud & mesh data Own the delivery of technical workstreams Create analytics environments and resources in … usable libraries, tooling and products Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption What you bring to the table Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings. Experience More ❯

Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropics mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build … beneficial AI systems. About the role: As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, improving reasoning abilities in areas such as code generation and mathematics, and exploring reinforcement … learning for agentic/open-ended tasks. Representative projects: Develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models. Create tools and environments for models to interact with, enabling them to perform complex, open-ended tasks. Design and run experiments to enhance models' reasoning capabilities, particularly in code generation and mathematics. More ❯

Research Engineer: Graph Machine Learning Atman Labs, London About Atman Labs At Atman Labs we are building software to emulate proactive human expertise. Emulating human experts with deep knowledge and proactive assistance has largely been impossible to do via standalone Artificial Intelligence techniques. As an applied research and commercialization company we are deploying our products in a … of our approach from proactive shopping assistance, to personal teachers to healthcare concierges and with this commercial focus advance our unique research that lies at the intersection of Reinforcement Learning rewards, Large Scale Knowledge Representation, and Predictive Models inspired by biological priors. The Next Frontier of Machine Reasoning: Web-scale Knowledge Graph Exploration using Reinforcement Learning Human … explore structured mental models in their heads to solve open-ended problems across different domains. Our research seeks to emulate this process through a novel combination of using reinforcement learning agents to perform exploration through a knowledge graph. Knowledge graphs allow us to represent structured information and the logical relations that govern it, unlocking the ability to build reinforcement More ❯

heart of our success! At QiH, we have created an energetic and target-driven culture and continuously invest in each individual. The Role We are seeking an experienced Senior Machine Learning Engineer to join our dynamic team. You’ll be at the forefront of designing, developing, and deploying ML models that power personalised advertising, customer journey analytics … powered by Google Cloud Platform (GCP), and we pride ourselves on applying cutting-edge techniques to real-world marketing and advertising challenges. Key Responsibilities: Design, build, and deploy scalable machine learning models for ad targeting, user segmentation, conversion prediction, and content personalization. Develop production-grade ML pipelines leveraging GCP services like Vertex AI, BigQuery, Dataflow, and Pub/… Sub. Collaborate cross-functionally with Data Science, Data Engineering, and Product teams to translate business objectives into ML solutions. Research and implement state-of-the-art techniques in deep learning, reinforcement learning, and large-scale optimization relevant to Ad Tech and Mar Tech. Monitor, troubleshoot, and continuously improve model performance in production environments. Mentor junior engineers and promote More ❯

heart of our success! At QiH, we have created an energetic and target-driven culture and continuously invest in each individual. The Role We are seeking an experienced Senior Machine Learning Engineer to join our dynamic team. You’ll be at the forefront of designing, developing, and deploying ML models that power personalised advertising, customer journey analytics … powered by Google Cloud Platform (GCP), and we pride ourselves on applying cutting-edge techniques to real-world marketing and advertising challenges. Key Responsibilities: Design, build, and deploy scalable machine learning models for ad targeting, user segmentation, conversion prediction, and content personalization. Develop production-grade ML pipelines leveraging GCP services like Vertex AI, BigQuery, Dataflow, and Pub/… Sub. Collaborate cross-functionally with Data Science, Data Engineering, and Product teams to translate business objectives into ML solutions. Research and implement state-of-the-art techniques in deep learning, reinforcement learning, and large-scale optimization relevant to Ad Tech and Mar Tech. Monitor, troubleshoot, and continuously improve model performance in production environments. Mentor junior engineers and promote More ❯

Machine Learning Engineer - Search and Recommendation JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, the company has expanded into sectors including retail, technology, logistics, healthcare, and … more, aiming to transform traditional business models with cutting-edge digital solutions. Know more about us: We have an exciting opportunity for a Machine Learning Engineer to join our growing technical team at Joybuy ( ). Joybuy is JD.coms European full-category online retail brand designed to bring customers a faster, more convenient, and cost-effective shopping experience. More ❯

As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Working closely with the Software development and Research teams, you will play a critical role in finding opportunities to innovate and differentiate Graphcores technology. We seek engineers … applications. If you're excited about advancing the next generation of AI models on cutting-edge hardware, wed love to hear from you! Responsibilities and Duties Implement the latest machine learning models and optimise them for performance and accuracy, scaling to thousands of accelerators. Test and evaluate new internal software releases, provide feedback to software engineering teams, make … generation of AI hardware. Engage with the AI community and stay updated with the latest developments in AI. Candidate Profile Essential skills: Bachelors, Masters, PhD, or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related fields. Proficiency in deep learning frameworks like PyTorch or JAX. Strong Python software development skills (knowledge of C++ or More ❯

Senior Machine Learning Engineer – Fully Remote UK (London) Location: Remote (UK-based preferred) Salary: Up to £120,000 base stock options Type: Permanent | Full-Time Start Date: September 2025 ideally Join a high-growth, AI-first scale-up transforming one of the world’s most document-intensive sectors. Backed by recent multi-million-pound funding and led … by senior technologists from tech unicorns, this is an opportunity to build real-world GenAI products that make a measurable impact. We’re looking for a Senior Machine Learning Engineer to build and deploy production-grade NLP and LLM solutions. You’ll work with high-value, sensitive data and play a key role in the automation of … What You’ll Do • Design and deploy LLM and transformer-based models for document classification and key data extraction • Build automated ML pipelines for model training, testing, and deployment • Engineer robust APIs and integrate models into scalable backend systems • Experiment with GenAI techniques and fine-tuning strategies • Collaborate with product, infrastructure, and compliance teams to deliver real-world results More ❯

Senior Machine Learning Engineer - Fully Remote UK (London) Location: Remote (UK-based preferred) Salary: Up to £120,000 base stock options Type: Permanent Full-Time Start Date: September 2025 ideally Join a high-growth, AI-first scale-up transforming one of the world's most document-intensive sectors. Backed by recent multi-million-pound funding and led … by senior technologists from tech unicorns, this is an opportunity to build real-world GenAI products that make a measurable impact. We're looking for a Senior Machine Learning Engineer to build and deploy production-grade NLP and LLM solutions. You'll work with high-value, sensitive data and play a key role in the automation of … What You'll Do • Design and deploy LLM and transformer-based models for document classification and key data extraction • Build automated ML pipelines for model training, testing, and deployment • Engineer robust APIs and integrate models into scalable backend systems • Experiment with GenAI techniques and fine-tuning strategies • Collaborate with product, infrastructure, and compliance teams to deliver real-world results More ❯

The world will be unrecognisable in 5 years. Machine learning models are driving our cars , testing our eyesight , detecting our cancer , giving sight to the blind , giving speech to the mute , and dictating what we consume, enjoy, and think . These AI systems are already an integral part of our lives and will shape our future as a … are infinitely patient and leave no student behind. Well augment our memories with foundation models individually tailored to us through RLHF and connected directly to our thoughts via Brain-Machine Interfacesblurring the lines between organic and machine intelligence and ushering in the next generation of human development. This future demands immense, globally accessible, uncensorable, computational power. Gensyn is … the machine learning compute protocol that translates machine learning compute into an always-on commodity resourceoutside of centralised control and as ubiquitous as electricityaccelerating AI progress and ensuring that this revolutionary technology is accessible to all of humanity through a free market. Our Principles: AUTONOMY Dont ask for permission - we have a constraint culture , not a More ❯

The world will be unrecognisable in 5 years. Machine learning models are driving our cars , testing our eyesight , detecting our cancer , giving sight to the blind , giving speech to the mute , and dictating what we consume, enjoy, and think . These AI systems are already an integral part of our lives and will shape our future as a … infinitely patient and leave no student behind. We'll augment our memories with foundation models -individually tailored to us through RLHF and connected directly to our thoughts via Brain-Machine Interfaces-blurring the lines between organic and machine intelligence and ushering in the next generation of human development. This future demands immense, globally accessible, uncensorable, computational power. Gensyn … is the machine learning compute protocol that translates machine learning compute into an always-on commodity resource-outside of centralised control and as ubiquitous as electricity-accelerating AI progress and ensuring that this revolutionary technology is accessible to all of humanity through a free market. Our Principles: AUTONOMY Don't ask for permission - we have a More ❯