26 to 50 of 1,875 Machine Learning Jobs in London

pd, Outside IR35 | 6-12 months Contract Length The Client: A leading organization in the drug discovery field is currently looking for a Principal ML Engineer to spearhead the technical direction for their structural biology models. This hands-on, high-impact role offers the opportunity to advance the application of … of how these models are applied within drug discovery workflows. A proven track record in setting strategy, solving complex technical problems, and delivering impactful ML systems is essential. Principal Machine Learning Engineer, Structural Biology | Pharma/BioTech expertise | Series A - Drug discovery B2B Platform | Fully Remote, EU … initial functional model extension (e.g., binding affinity prediction head), complete with a clear benchmarking framework and a replicable pipeline. By month 12: Oversee multiple ML initiatives in structural biology, showcasing significant improvements in model accuracy and practical impact. Provide mentorship to peers and set the strategic direction for the area.nd More ❯

pd, Outside IR35 | 6-12 months Contract Length The Client: A leading organization in the drug discovery field is currently looking for a Principal ML Engineer to spearhead the technical direction for their structural biology models. This hands-on, high-impact role offers the opportunity to advance the application of … of how these models are applied within drug discovery workflows. A proven track record in setting strategy, solving complex technical problems, and delivering impactful ML systems is essential. Principal Machine Learning Engineer, Structural Biology | Pharma/BioTech expertise | Series A - Drug discovery B2B Platform | Fully Remote, EU … initial functional model extension (e.g., binding affinity prediction head), complete with a clear benchmarking framework and a replicable pipeline. By month 12: Oversee multiple ML initiatives in structural biology, showcasing significant improvements in model accuracy and practical impact. Provide mentorship to peers and set the strategic direction for the area.nd More ❯

pd, Outside IR35 | 6-12 months Contract Length The Client: A leading organization in the drug discovery field is currently looking for a Principal ML Engineer to spearhead the technical direction for their structural biology models. This hands-on, high-impact role offers the opportunity to advance the application of … of how these models are applied within drug discovery workflows. A proven track record in setting strategy, solving complex technical problems, and delivering impactful ML systems is essential. Principal Machine Learning Engineer, Structural Biology | Pharma/BioTech expertise | Series A - Drug discovery B2B Platform | Fully Remote, EU … initial functional model extension (e.g., binding affinity prediction head), complete with a clear benchmarking framework and a replicable pipeline. By month 12: Oversee multiple ML initiatives in structural biology, showcasing significant improvements in model accuracy and practical impact. Provide mentorship to peers and set the strategic direction for the area.nd More ❯

strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning, statistical modelling, and causal inference. This position is for a client-facing, project lead level role for someone who has deployed solutions … that utilize customer data to generate value for the business. This role at other companies may be referred to as a Machine Learning Engineer or Data Scientist. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out … to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, deep learning, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Decision Scientist, you will be expected to More ❯

techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Machine Learning (ML) Engineers work in cross-functional teams of engineers, data scientists, and product managers to build the algorithmic products that power the company. We are embedded … in product teams, close to the business problems and go after some of the hardest problems. ML Engineers translate a fuzzy business problem to a concrete pipeline that we design and implement. We then work closely with the engineers to deploy our models to production and with data scientists to … run experiments based on these algorithms. ML Engineers at Deliveroo report into our Science management team, and we have a strong, active data science community with guest lecturers, a robust technical review process, a career progression framework, and plenty of opportunities to learn new things. We have career pathways for More ❯

work with: Reporting to the Director of AI, this is a high-impact role where your expertise will directly shape the future of our ML/AI capabilities. Our team values exploration and continuous learning, encouraging you to drive meaningful innovation and take on exciting challenges. If you're … proactive problem-solver with a passion for machine learning, we'd love to meet you. The impact you'll have: As an ML Scientist at Qloo, you will play a crucial role in developing and implementing cutting-edge machine learning models and data-driven solutions. You … algorithms, ensuring their scalability, robustness, and performance in production. Data Analysis & Optimization: Conduct data preprocessing, feature engineering, and exploratory analysis to optimize AI/ML models. Pipeline Development & Enhancement: Design, build, and enhance efficient machine learning pipelines, ensuring their scalability and performance. Collaboration & Cross-functional Integration: Work closely More ❯

Cure Talent is excited to partner with TympaHealth, a rapidly growing medical technology company that is transforming hearing healthcare. We are seeking a Machine Learning Engineer/AI Engineer to join their talented team, working on cutting-edge machine learning models for image and audio analysis. … The successful Machine Learning Engineer/AI Engineer will play a crucial role in developing, deploying, and optimising AI-driven insights to enhance business processes and support data-driven decision-making. This is a hands-on position where you'll collaborate closely with cross-functional teams to integrate … machine learning models into real-world applications. Key Responsibilities: Develop AI models for classification, segmentation, and processing of image and audio data. Optimise machine learning models to ensure peak performance. Work closely with software development teams to integrate AI models into applications. Collect, clean, and manipulate More ❯

benefit options including discounts at hundreds of retailers, cycle to work scheme, discounted gym memberships and healthcare schemes Employee assistance and well-being programmes Learning and development tailored to your role - this could include industry recognised qualifications, coaching and mentoring An inclusive and diverse environment with opportunities to join … contacting us with the job reference in the subject. Introduction BBC R&D's AI Research Applied Area is focused on the use of Machine Learning and Artificial Intelligence across the BBC. AI Research works closely with other BBC R&D Applied Research Areas, BBC Product and Technology … Groups and senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of AI Research, the Senior Principal Data Scientist will lead a team of machine learning researchers focusing on natural language processing. As a Senior Principal Data Scientist, you More ❯

pipelines, transforming experimental models into scalable, production-ready systems while closely collaborating with the Product Design and Engineering (PDE) team to create impactful ML-driven products in the healthcare setting. In addition to optimizing infrastructure, automating workflows, and ensuring seamless integration from model development to deployment, you will play … mission of saving lives. Key Responsibilities: Ownership of Machine Learning Infrastructure: Develop, deploy, and maintain scalable pipelines for both Circadia's proprietary ML models and off-the-shelf solutions. Optimize model training and inference workflows to handle large-scale, real-time data efficiently. Design robust model monitoring systems … to track performance, detect drift, and ensure reliability. Implement infrastructure to support the experimentation and productionization of ML models cost-effectively in AWS and Snowflake. Building and Deploying ML-Driven Products: Collaborate closely with the Product Design and Engineering (PDE) team to design, build, and iterate on ML-powered products. More ❯

solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat. The AI/ML Clinical Development team is responsible for creating AI/ML applications to support the development of GSK's assets (Pharma and Vaccine), from early to … to be transformative in drug development, empowering us to find new life saving medicines. We are looking for a Senior Director of AI/ML Engineering - Foundation Models in Medical Imaging. This is a technical management track role with responsibility for building out a team in this domain. The candidate … important will be excellent communication, interpersonal and organizational skills, and the ability to represent and transmit the values and principles of our AI/ML team. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and More ❯

The Role As a Machine Learning Engineer for the Alerts team, you'll be at the intersection of cutting-edge AI/ML technologies and real-time data processing. You'll work on developing and optimizing anomaly detection algorithms that power our highly scalable stream processing platform. What … You'll Do You'll collaborate with a team of skilled engineers to design, implement, and maintain large-scale AI/ML pipelines for real-time anomaly detection. You will be responsible for training and tuning the models and performing model evaluations using Deep Learning Machine Learning (AI/ML) Models, and Large Language Models, to detect anomalies across billions of events. You'll design and implement sophisticated anomaly detection algorithms, such as Isolation Forests, LSTM-based models, and Variational Autoencoders, tailored to our unique data streams. Creating robust evaluation frameworks and metrics to assess the More ❯

the heart of trust. As part of the MLOps team, you'll work closely with data scientists, software engineers, and other stakeholders to bring machine learning models to life-ensuring they're deployed, maintained, and monitored efficiently in production. You'll have the opportunity to improve model performance … Build Pipelines: Develop and maintain data and model pipelines, integrating seamlessly with our existing systems to support reliable, efficient workflows. CI/CD for ML: Design and implement continuous integration and delivery pipelines to streamline the deployment of machine learning models. Model Monitoring: Help monitor the performance of … in both machine learning and software engineering. Experience deploying machine learning models in production environments. Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with cloud platforms like GCP, AWS, or Azure. Experience with CI/CD pipelines for machine More ❯

causaLens is the pioneer of Causal AI - a giant leap in machine intelligence. We are on a mission to build truly intelligent machines , machines that truly understand cause and effect- it's hard but super fun! If you want to build the future and are looking for a place … our website homepage and watch the 'Why Causal AI' video to learn more. The Role We are seeking a motivated and high-achieving Lead Machine Learning Engineer to join our Product team in London. In this leadership role, you will spearhead the development of our Causal AI platform … a plus). Experience in developing Large Language Models (LLMs) is advantageous. In-depth understanding of computer architecture and its implications on AI/ML performance. Comprehensive knowledge of the software development life cycle, including best practices in version control, testing, and deployment. Proven ability to lead and mentor teams More ❯

solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat. The AI/ML Clinical Development team is responsible for creating AI/ML applications to support the development of GSK's assets (Pharma and Vaccine), from early to … to be transformative in drug development, empowering us to find new life saving medicines. We are looking for a Senior Director of AI/ML Engineering - Foundation Models in Medical Imaging. This is a technical management track role with responsibility for building out a team in this domain. The candidate … important will be excellent communication, interpersonal and organizational skills, and the ability to represent and transmit the values and principles of our AI/ML team. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and More ❯

We are seeking a highly skilled and motivated Senior Machine Learning Engineer to join this team in London. This role offers a unique opportunity to engage in cutting-edge research while applying your engineering expertise to … develop and deploy machine learning solutions. Key Responsibilities: Conduct and publish advanced machine learning research. Design, develop, and deploy scalable ML models with cross-functional teams. Lead implementation of ML algorithms, ensuring code quality and optimization. Oversee the ML lifecycle from data collection to deployment. Stay … informed on ML advancements to drive team innovation. Qualifications: Advanced degree (Ph.D. preferred) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Proven experience in conducting research and publishing in top-tier journals or conferences. Strong programming skills in languages such as Python, C++, or Java More ❯

We are seeking a highly skilled and motivated Senior Machine Learning Engineer to join this team in London. This role offers a unique opportunity to engage in cutting-edge research while applying your engineering expertise to … develop and deploy machine learning solutions. Key Responsibilities: Conduct and publish advanced machine learning research. Design, develop, and deploy scalable ML models with cross-functional teams. Lead implementation of ML algorithms, ensuring code quality and optimization. Oversee the ML lifecycle from data collection to deployment. Stay … informed on ML advancements to drive team innovation. Qualifications: Advanced degree (Ph.D. preferred) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Proven experience in conducting research and publishing in top-tier journals or conferences. Strong programming skills in languages such as Python, C++, or Java More ❯

team, contributing to the design, development, and deployment of cutting-edge machine learning systems. In this role, you'll work closely with ML scientists, data engineers, and product teams to help bring innovative solutions-such as retrieval-augmented generation (RAG) systems, multi-agent architectures , and AI agent workflows … training (e.g., LoRA, PEFT), and distillation . Build evaluation pipelines to benchmark LLM performance and continuously monitor production accuracy and relevance. Work across the ML stack-from data preparation and model training to serving and observability-either independently or in collaboration with other specialists. Optimize model pipelines for latency, scalability … preprocessing, and feature engineering. Proven experience building and deploying RAG systems and/or LLM-powered applications in production environments. Proficiency in Python and ML libraries such as PyTorch, Hugging Face Transformers , or TensorFlow. Experience with vector search tools (e.g., FAISS, Pinecone, Weaviate) and retrieval frameworks (e.g., LangChain, LlamaIndex). More ❯

our reality. General Description: We are looking for scientists who are passionate about data and eager to tackle big challenges using Data Science and Machine Learning. The main focus of this role is to solve complex business problems in Fortune 500 companies. The candidate will work with structured and … them into structured data problems. Explore and analyze complex data sets (structured and unstructured). Prototype models of varying complexity (business analysis, statistical models, machine learning) using modern data science tools (Notebooks, Cloud platforms). Design and implement machine learning models, develop metrics, and apply feature … engineering techniques tailored to customer problems. Support pre-sales efforts and assist engineering teams in deploying production-ready machine learning solutions. Evaluate hypotheses and the impact of machine learning algorithms on key business metrics, including offline and online experiments (A/B testing). Research user More ❯

financial services, healthtech, and telecom, and a $90B+ market in sight, we're scaling fast in 2025 and beyond. 🔍 The Role As a Senior Machine Learning Engineer at Synthesized, you will work alongside machine learning and statistics researchers from top UK universities, as well as world … class software engineers. You will be responsible for developing advanced machine learning techniques and applying them at scale across our projects. Regular interaction with customers will be a key part of your role. You should be driven by a desire to tackle the most important challenges and achieve … learning and meta-learning. Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Extend existing ML libraries and frameworks 🌱 About You Good knowledge of probability, statistics and algorithms 3+ years of experience in creating high-performance implementations of machine learning More ❯

financial services, healthtech, and telecom, and a $90B+ market in sight, we're scaling fast in 2025 and beyond. 🔍 The Role As a Senior Machine Learning Engineer at Synthesized, you will work alongside machine learning and statistics researchers from top UK universities, as well as world … class software engineers. You will be responsible for developing advanced machine learning techniques and applying them at scale across our projects. Regular interaction with customers will be a key part of your role. You should be driven by a desire to tackle the most important challenges and achieve … learning and meta-learning. Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Extend existing ML libraries and frameworks 🌱 About You Good knowledge of probability, statistics and algorithms 3+ years of experience in creating high-performance implementations of machine learning More ❯

This innovative role focuses on developing conversation-based, multimodal shopping experiences, utilizing multimodal large language models (MLLMs), generative AI, advanced machine learning (ML) technologies and computer vision. Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet … by pushing the SoTA in Natural Language Processing (NLP), Generative AI, Multimodal Large Language Model (MLLM), Natural Language Understanding (NLU), Machine Learning (ML), Retrieval-Augmented Generation (RAG), Computer Vision, Responsible AI, LLM Agents, Evaluation, and Model Adaptation. Key job responsibilities As an Applied Scientist on our team, you … analysis and modelling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use deep learning, ML and MLLM techniques to create scalable language model centric solutions for building shopping assistant systems based on a rich set of structured and unstructured contextual More ❯

turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. The Senior Machine Learning Engineer is responsible for developing, testing and maintaining applied data science solutions and machine learning pipelines powering scalable content personalisation … and mentorship to junior members of the engineering team. Participates in code reviews as necessary. What you'll bring: You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code. … PhD in related subjects. Extensive machine learning research background and experiences. Academic publications in machine learning related conferences or journals. ML product development experiences for content discovery on large scale customer-facing clients/devices. Team overview: Global Product We're the Global Product. We're More ❯

Revolutionising Healthcare Through Machine Learning. The field of machine learning has advanced far beyond the futuristic ideas portrayed in Sci-Fi films like Robocop and Transformers. Today, machine learning represents a groundbreaking tool in healthcare and pharmaceuticals, offering solutions to transform patient outcomes and advance … the industry. This is your opportunity to join a brand-new Machine Learning team within one of Europe's fastest-growing AI start-ups. Their mission? To develop cutting-edge AI solutions that tackle the unique challenges in healthcare and pharma, delivering scalable innovations that improve drug development … diagnostics, and treatment delivery. Based in vibrant offices in Barcelona or Madrid, you'll work at the forefront of machine learning, creating tools for model training and evaluation that power transformative healthcare applications. Collaborating closely with Data Scientists and Engineers, you'll produce advanced AI solutions while optimizing More ❯

The Francis Crick have an exciting opportunity available for a Machine Learning Engineer???? to join one of the world's leading research Institutes at a crucial time in its evolution, and play a definitive role in shaping it for the future. You will join us on a full … and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. The Machine Learning Engineer role: The role will be placed in the Software Engineering and AI facility and will support the MANIFEST research platform led … project Stay current with the latest thinking in the field through building a library of related publications Develop approaches to evaluate the performance of ML models in relation to project objectives Design and develop high-quality, optimised and maintainable pipelines and software to meet project needs Work in close collaboration More ❯

At Speechmatics, we are searching for a Director of Machine Learning to help us push the boundaries of applied AI and transform how the world interacts with voice technology. As pioneers in machine learning for speech, our mission is to Understand Every Voice-a vision that … steer our innovation in Conversational AI and guide us on the path to achieving and surpassing the "Speech-first Turing Test." As Director of ML, this is your chance to make an impact on a global scale. You will lead and inspire world-class teams of researchers and machine learning engineers, driving breakthroughs that will shape the future of AI-driven speech technology. What you'll be doing: Shape and articulate a forward-looking vision for Machine Learning at Speechmatics, aligning research priorities with our ambitious product roadmap. Identify and execute high-impact research opportunities More ❯