626 to 650 of 1,789 Machine Learning Jobs in London

ever -growing, entirely new-to-science data supply embedded in a highly ambitious and collaborative environment of scientists and engineers. Responsibilities Lead and manage a team of AI/ML researchers/engineers, providing technical guidance and fostering a culture of innovation Oversee the development and implementation of novel AI/ML models and algorithms Collaborate with interdisciplinary teams of … industry partners About You (Required): A graduate degree in Computer Science, Machine Learning, Computational Biology, or a related field 5+ years of industry experience in AI/ML research or engineering, of which at least 4 years in a technical lead or 3 years in a managerial role Strong publication record or demonstrated expertise in areas such as … desired but not required): Experience with protein or DNA bioinformatics MLOps experience Software engineering skills and knowledge of data pipelining (e.g. via Airflow) and prior experience of cloud-based ML model deployment Experience with Agile systems Apply for the job Do you want to join our team as our new Head of AI? Then we'd love to hear about More ❯

including support for customers who require specialized security solutions for their cloud services. At AWS AI, we want to make it easy for our customers to train their deep learning workload in the cloud. With Amazon SageMaker Training, we are building customer-facing services to empower data scientists and software engineers in their deep learning endeavors. As our … our next-generation AI compute platform that's optimized for LLMs and distributed training.At AWS AI, we want to make it easy for our customers to train their deep learning workload in the cloud. With Amazon SageMaker Training, we are building customer-facing services to empower data scientists and software engineers in their deep learning endeavors. As our … testing, and deploying distributed machine learning systems and large-scale solutions for our world-wide customer base. In this, you will collaborate closely with a team of ML scientists and customers to influence our overall strategy and define the team's roadmap. You'll assist in gathering and analyzing business and functional requirements, and translate requirements into technical More ❯

foundation models, and translating discovery to real clinical and research impact. Role focus - Foundation Models for Biology Architect, build, and scale our foundational AI infrastructure. You'll ensure our ML models are developed and deployed on highly performant, scalable, and reliable systems. Your expertise will enable rapid experimentation and seamless deployment of large-scale mulit-omic models, empowering researchers to … advance groundbreaking scientific discoveries. Architect, develop, and optimize robust ML training and inference infrastructure capable of supporting large-scale genomic foundation models. Design and implement scalable and efficient distributed computing platforms leveraging cloud (AWS/GCP/Azure) and HPC clusters. Develop highly automated, reproducible data pipelines and CI/CD workflows that accelerate model development, testing, and deployment. Performance … tune infrastructure and models, optimizing resource utilization (GPU/TPU) and significantly improving computation efficiency. Collaborate cross-functionally with ML researchers, bioinformaticians, and scientists to translate research needs into scalable engineering solutions. Ensure system reliability, robustness, and high availability, proactively implementing comprehensive monitoring, logging, and alerting solutions. Champion infrastructure-as-code (IaC) practices, promoting clarity, reproducibility, security, and auditability. Expected More ❯

Python Strong software engineering skills with a focus on building production-ready systems Experience of deploying & monitoring such systems in a cloud environment. Experience with natural language processing, deep learning and generative AI. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). Building AI agents, or products that … rely on AI agents Developing and working with tools and interfaces for AI applications (e.g. Anthropic's Model Context Protocol) Training traditional Machine Learning and Deep Learning models. (Desirable) Hands-on experience with containerisation technologies such as Docker. (Desirable More ❯

We're Atom Learning and our mission is to help every child reach their potential. We use machine learning and a visually engaging tech platform to bring a fun, high-quality and personalised learning experience into every child's home. We combine exceptional teacher-made content with cutting-edge technology to provide fantastic affordable education to … s fastest-growing EdTech companies. Since 2018 we've grown from a startup of four friends to almost 110 people. Our brilliant colleagues include specialists across education, engineering, product, learning design and marketing. We're remote-first! While our main office is in London, our team is composed of over 110 people (and counting) working from 10 countries. The … running of all business areas of a successful startup; Brilliant colleagues and the opportunity to become an integral member of a fast-growing tech company. Diversity & Inclusion at Atom Learning At Atom Learning, diversity, equity and inclusion are essential parts of our mission. We strive to build an inclusive culture that encourages and supports voices from a diverse More ❯

structured and unstructured biological data that contribute to the evolution of BenchScis Knowledge Graph Integrate public life science data into the biological ontology in our Knowledge Graph Collaborate with ML, Data engineers, and Science to solve complex data mining and extraction challenges, enabling us to capture and model scientific experiments and results Seek out leadership opportunities and act as a … you will excel best if this environment suits you You have experience working in cross-functional teams with product managers, scientists, project managers, and engineers from other disciplines (e.g., machine learning) Outstanding verbal and written communication skills Can clearly explain complex technical concepts/systems to engineering peers and non-engineering stakeholders across teams Experience executing as part … vacation day every year Company closures for 14 more days throughout the year Flex time for sick days, personal days, and religious holidays Comprehensive health and dental benefits. Annual learning & development budget A one-time home office set-up budget to use upon joining BenchSci An annual lifestyle spending account allowance Generous parental leave benefits with a top-up More ❯

collaborating on schema design and data modeling across relational, NoSQL, graph, and search systems to support analytics and machine learning. Assist in integrating LLMs and other AI/ML tools into backend services to enhance data processing and product intelligence. Own it end-to-end. Design, develop, deploy, monitor, and fix the data services and pipelines you build. Contribute … the Data Engineering Manager , this Software Engineer will support and enhance the reliability of our research and analysis platform, which leverages open-source intelligence, data mining, network analysis, and machine learning to generate unparalleled insights on networks engaged in illicit financial activity. Key focus areas include system architecture, code quality, automation, and observability. To the right person, this More ❯

will occasionally be overlapping and cross-functional work. About Role: We are seeking an enthusiastic data scientist to assist our analytics team in transitioning to leveraging data science and machine learning. Ideally, candidates should have experience in deploying machine models and providing insights into the governance of these models. You must be a self-starter capable of managing … for finance, marketing, go-to-market, and strategy. You will have exposure to various datasets and teams. Responsibilities: Understanding our end-to-end development. Deploying a proof-of-concept machine model to production and advising on the correct approach to deployment. Assisting in data engineering and Tableau dashboard support. Collaborating with stakeholders to understand operational needs and translate them … into actionable data-driven solutions. Requirements: Data science and analytics experience. Developing and maintaining machine learning models. Creating Generative AI applications using RAG. Optimising LLM queries with prompt engineering techniques. Programming in Python and SQL. Proficiency with BI tools (e.g., Tableau, Power BI). Building and maintaining ETL/ELT pipelines and data models within data warehouses. Using More ❯

closed-loop autonomy Building training and evaluation pipelines at scale across petabytes of real-world and simulated driving data Collaborating with cross-functional teams across perception, planning, simulation, and ML infrastructure Driving alignment between model capabilities and real-world deployment constraints (latency, robustness, validation) Publishing internal technical guidance and mentoring engineers across autonomy ML Qualifications B.S., M.S., or Ph.D. in … Computer Science, Robotics, or a related field 7+ years of experience building and deploying large-scale ML systems Deep understanding of foundation models, self-supervised learning, and world models in robotics or simulation Strong software engineering background, with fluency in Python and C++ Experience training and evaluating transformer models or end-to-end autonomous agents Familiarity with real-time … inference systems and autonomous vehicle constraints Proven leadership in driving ML projects from research to production Bonus: Prior work on end-to-end autonomous driving architectures (e.g., imitation learning, behavior cloning, world models) Experience with sensor fusion (LiDAR, camera, radar) in a learned model Company Statements Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable More ❯

tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as standard 25 days annual leave plus bank More ❯

tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as standard 25 days annual leave plus bank More ❯

engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform as their platform of More ❯

will play a critical role in designing, developing, and maintaining the software solutions that power our AI-driven products. You will work closely with our team of AI/ML engineers, urban planning specialists, and other software developers to create robust, scalable, and efficient applications that transform the planning application process. Key Responsibilities Design and Development: Develop high-quality software More ❯

Azure Data Engineer Associate, Azure Solutions Architect). Experience with Terraform, ARM templates, or Bicep for infrastructure automation. Experience integrating Azure Data Services with Power BI and AI/ML workflows. Role Factors: The position is full-time with remote work options, requiring in-office presence three days per week What we offer: You will be eligible for a comprehensive More ❯

etc. Experience with automated testing Skills and Experience - Nice to Haves Experience in site reliability engineering Experience with event-driven systems Experience in building web services on AI/ML models As the role is one of growth we would expect the successful candidate to continuously develop it, as well as deliver projects within tight deadlines while maintaining CACI's More ❯

companies, and payment services. Their software platform and APIs enable their partners to offer flexible financing products, in their desired branding, to their merchant base. Role overview : As an ML Ops Engineer, you'll be the architect of robust processes to streamline and maintain machine learning models in a dynamic production environment. You'll bridge the gap between … research and deployment, ensuring the platform continues to deliver transformative results for development partners. Requirements : ML in Practice : Proven experience building and maintaining operational ML systems. Python Proficiency : Strong Python coding skills and familiarity with relevant ML/data engineering libraries. DevOps Mindset : Understanding of CI/CD principles, containerisation (Docker, Kubernetes), and version control (Git). Problem-Solving Approach … Ability to troubleshoot issues in complex ML pipelines and proactively address potential bottlenecks. More ❯

The Chief Data and Analytics Office is responsible for building enterprise-scale, cutting-edge platforms for Data Management & Analytics and AI/ML Operations that are used firm-wide by the JPMC workforce for Artificial Intelligence (including generative AI)/Machine Learning (AI/ML) development and Data Management. Ignite your passion for product innovation by leading customer … and procedures. Your role is crucial in ensuring the ethical and compliant application of AI & Data Management technologies across the firm. You will be instrumental in integrating AI/ML and Data Management technology into the company's structure, adhering to sustainable best practices in compliance with JPMC technology, operational risk, and relevant regulations. Collaborating with cross-functional teams such More ❯

data and techniques at their disposal. We are looking for a Data Science Manager to lead a team of embedded data scientists who partner closely with product, engineering, and machine learning teams to drive decision-making and shape the product roadmap. This is a strategic leadership role focused on enabling impact through others-not a hands-on technical … scientists and analysts are embedded effectively within product squads, are influencing roadmap decisions, and are building the right frameworks to define success, measure progress, and evaluate performance-including for ML/AI-powered features. As a key member of the leadership group within your pillar, you'll collaborate with peers in Product, Engineering, and Commercial to define the long-term … vision and ensure data science is contributing to both short-term outcomes and long-term strategy. You'll also work closely with Data Engineering, BI, and ML teams to align on priorities and advocate for the tools, infrastructure, and data quality needed to support scalable decision-making. If you're passionate about developing people, influencing product direction, and embedding data More ❯

senior stakeholders stay informed and satisfied Clear and effective communication skills, translating technical concepts for non-technical audiences Thrive in a fast-paced environment with a passion for continuous learning and growth Bonus points for: Proficiency with JavaScript, HTML, and CSS for building front-end applications Knowledge of large ERP systems (SAP, Oracle, Microsoft Dynamics, NetSuite, etc.). Vertical … options An excellent benefits package Private healthcare/dental Meritocratic working environment and strong career progression opportunities A fast growth, exciting business with an open and inclusive culture Continuous learning and development Great offices and flexible working -- This position is open to candidates eligible to work in the United Kingdom. Sponsorship is not on offer at this time. -- About … for talented individuals who are passionate about using their skills to drive positive change. Mind Detect provides exceptional recruitment services to businesses who are leading the way in Data, Machine Learning and AI-driven technologies throughout Europe, the US and Asia. More ❯

senior stakeholders stay informed and satisfied Clear and effective communication skills, translating technical concepts for non-technical audiences Thrive in a fast-paced environment with a passion for continuous learning and growth Bonus points for: Proficiency with JavaScript, HTML, and CSS for building front-end applications Knowledge of large ERP systems (SAP, Oracle, Microsoft Dynamics, NetSuite, etc.). Vertical … options An excellent benefits package Private healthcare/dental Meritocratic working environment and strong career progression opportunities A fast growth, exciting business with an open and inclusive culture Continuous learning and development Great offices and flexible working -- This position is open to candidates eligible to work in the United Kingdom. Sponsorship is not on offer at this time. -- About … for talented individuals who are passionate about using their skills to drive positive change. Mind Detect provides exceptional recruitment services to businesses who are leading the way in Data, Machine Learning and AI-driven technologies throughout Europe, the US and Asia. More ❯

We're Atom Learning and our mission is to help every child reach their potential. We use machine learning and a visually engaging tech platform to bring a fun, high-quality and personalised learning experience into every child's home. We combine exceptional teacher-made content with cutting-edge technology to provide fantastic affordable education to … s fastest-growing EdTech companies. Since 2018 we've grown from a startup of four friends to almost 110 people. Our brilliant colleagues include specialists across education, engineering, product, learning design and marketing. We're remote-first! While our main office is in London, our team is composed of over 110 people (and counting) working from 10 countries. The … running of all business areas of a successful startup; Brilliant colleagues and the opportunity to become an integral member of a fast-growing tech company. Diversity & Inclusion at Atom Learning At Atom Learning, diversity, equity and inclusion are essential parts of our mission. We strive to build an inclusive culture that encourages and supports voices from a diverse More ❯

decide on next steps. Own Your Responsibilities : Your work will directly affect our product and be deployed into production. What Were Looking For 2+ years of professional AI/ML engineering experience (or equivalent). Python expert with strong software engineering fundamentals. Experience with DevOps/ML Ops practices: CI/CD pipelines (e.g. GitHub Actions), containerisation (Docker), automated testing More ❯

approach. We place emphasis on curiosity and experimentation. We collaborate widely with academics, innovative companies, and the rest of the FCA. We believe that people need space to continue learning and the support to develop new ideas, so we commit to giving them both. Join our diverse team of creative and passionate innovators to: Empower and elevate your team … and delivery of innovative product propositions from early ideas to launch, free from the constraints of legacy systems Growing professionally within a nurturing, forward-thinking team that values continuous learning with access to learning platforms, thought-provoking events and dedicated time for development and exploration Which skills are required? We are a Disability Confident Employer; therefore, disabled people … solutions that align with enterprise architecture principles, in partnership with infrastructure, security and governance teams Troubleshooting complex development challenges with composure and resolving production issues efficiently Desirable Delivering impactful machine learning solutions, including applications powered by large language models Applying thoughtful development approaches with TDD and BDD, using tools like PyTest and Behave to ensure quality and clarity More ❯

Working - 1 day in the office circa every 2 weeks. Role Summary We are seeking a commercially minded Senior Data Scientist to lead the development of advanced analytics and machine learning solutions focused on customer behavior, personalization, and lifecycle management. Your work will directly impact customer retention, engagement, and lifetime value, helping the business make smarter, data-driven … with cross-functional teams and influence C-level decision-making Work in a high-impact, fast-paced environment where your work matters Supportive and innovative data culture with continuous learning opportunities Please do send across to me the most up to date CV to *Rates depend on experience and client requirements More ❯

Working - 1 day in the office circa every 2 weeks. Role Summary We are seeking a commercially minded Senior Data Scientist to lead the development of advanced analytics and machine learning solutions focused on customer behavior, personalization, and lifecycle management. Your work will directly impact customer retention, engagement, and lifetime value, helping the business make smarter, data-driven … with cross-functional teams and influence C-level decision-making Work in a high-impact, fast-paced environment where your work matters Supportive and innovative data culture with continuous learning opportunities Please do send across to me the most up to date CV to *Rates depend on experience and client requirements More ❯