326 to 350 of 1,861 Machine Learning Jobs in London

complex business challenges Oversee the end-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment Stay updated with the latest advancements in AI and machine learning, incorporating best practices into projects Drive data-driven decision-making through advanced analytics and visualization techniques Ensure the security, scalability, and efficiency of AI solutions Lead research … Science, Artificial Intelligence, or a related field Proven experience as an AI engineer or data scientist, with a track record of leading successful AI projects Proficiency in AI and machine learning frameworks and programming languages (e.g., Python) Strong expertise in data preprocessing, feature engineering, and model evaluation Excellent problem-solving and critical-thinking skills Effective leadership, communication, and … team management abilities A passion for staying at the forefront of AI and machine learning advancements Benefits Fast moving, challenging and unique business problems Attractive remuneration and performance incentives Strong learning and development plans for your career growth Great career development opportunities in a growing company International work environment and flat organization Competitive salary Seniority level Seniority More ❯

workplace that emphasizes personal well-being. Role Are you an aspiring data scientist with a strong foundation in statistical modelling, programming, and business problem-solving? Do you thrive on learning fast, solving real-world problems, and making an impact from day one? We're looking for a Junior Data Scientist with a growth mindset and a solid grasp of … data science fundamentals to join our world-class team at RAPP. You'll support senior team members in delivering machine learning and advanced analytics solutions for global brands like Ralph Lauren, KFC, and Mercedes. This role is perfect for someone at the start of their career who is passionate about applying their skills to commercial challenges and growing … technical. Learn quickly and continuously - from new tools and techniques to client domains and business challenges. What You'll Bring Must-Have: A strong foundation in statistics, probability, and machine learning fundamentals - either through a STEM degree, formal training, or self-study. Fluency in Python and SQL, including experience with libraries like Pandas, Scikit-learn, or equivalent. Demonstrated More ❯

forums Guide and mentor other data scientists, ensuring consistency, quality, and alignment across experimentation work Represent experimentation at the strategic level, advocating for rigorous methods that drive long-term learning and impact Create reusable documentation, tooling, and training materials to elevate experimentation maturity across the organisation What We’re Looking For Significant experience in data science and experimentation, ideally … ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 months ago London, England, United Kingdom 2 months ago Machine Learning Scientists and Engineers: AI for Quantum London, England, United Kingdom 2 months ago London, England, United Kingdom 1 week ago Data Science Manager - UK Remote Working London … weeks ago London, England, United Kingdom 15 hours ago London, England, United Kingdom 1 week ago London, England, United Kingdom 4 days ago Research Scientist (Quantum Chemistry and Machine Learning), London London, England, United Kingdom 2 days ago London, England, United Kingdom 1 week ago Quantitative Researcher - Machine Learning London, England, United Kingdom 1 week ago More ❯

intelligence or social sciences. Knowledge of experimental design. Experience with big data and awareness of biases. Proficiency in documenting methodologies. Familiarity with version control tools like GitHub. Experience building machine learning pipelines and understanding engineering principles. Knowledge of machine learning techniques such as Random Forest and LGBM. About us: Prevail Partners provides intelligence, research, and consultancy More ❯

critical public sector and defence organisations. As part of our team, you'll leverage technologies like Palantir, Tableau, and cloud platforms (AWS, Azure) to build scalable data infrastructure, develop machine learning models, and create robust solutions that enhance public service delivery. Working in classified environments, you'll tackle complex challenges using tools like Hadoop, Spark, and modern visualisation … Implement data security and governance frameworks Build and maintain data APIs and services Analytics and Data Science Focus: Translate business problems into data queries and solutions Develop and deploy machine learning models Create advanced analytics solutions Provide insights through data visualization and reporting Design and implement A/B tests and experiments Collaborate with stakeholders to understand data … data lakes and warehouses using cloud technologies Creating automated data pipelines for continuous data integration Developing real-time data processing systems Implementing data governance and security frameworks Building scalable machine learning infrastructure Collaborating with multiple departments, stakeholders, and external vendors Skills, Knowledge and Expertise We work predominantly within the UK Defence and Public Sectors so experience within those More ❯

as NLP, LLM, and IA; Design, develop, and implement artificial intelligence (AI) models and algorithms for various applications; Work on a broad set of tasks encompassing various forms of machine intelligence (e.g., machine learning, algorithms, neural networks, computer vision, robotics) to develop AI models for specific applications; Train AI models using various algorithms and techniques, optimizing for … based on feedback and performance metrics; Lead AI team activities in educating Medpace AI users in the best development, training and deployment of AI tools including various forms of machine intelligence; and Participate in educating, training and development of more junior team members. Qualifications PhD in Artificial Intelligence, Computer or Data Science, or related field; Preferably several years of … experience working with different AI capabilities and showcasing your passion both at work and outside work in the development of highly complex AI models (NLP, LLMs, Deep learning etc); Technical proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, TensorFlow, PyTorch); Excellent communication skills to collaborate effectively with cross-functional teams; Demonstrated ability to More ❯

across cross-functional teams Passion for building scalable, efficient software solutions Innovative approach to solving complex technical challenges Strong sense of initiative and product ownership Experience with AI and machine learning integration preferred What's in it for you Cutting-Edge Technology: Work with the latest web and cloud technologies Inclusive Work Culture: Collaborative environment emphasizing mutual respect … Flexible Working Hours: Arrangements that prioritize productivity and work-life balance Real-World Impact: Develop software that drives technological innovation Continuous Learning: Opportunities for professional development in technical and soft skills Iprova Culture Iprova is a mix of people and backgrounds, from very bright machine learning engineers and invention developers to pragmatic managers. Across this group there More ❯

Job Requisition ID # 25WD89838 Position Overview As a Principal Software Engineer at Autodesk Research, you will work on new ML-powered product features that help our customers imagine, design, and make a better world. You are a software engineer passionate about solving problems and building solutions. You will collaborate with scientists, research engineers, and platform engineers to build and … deploy scalable data pipelines for machine learning. Your expertise spans data processing and distributed systems, with a focus on software engineering. You will work at the intersection of research and product, building generative AI features in Autodesk products. You will report to: Manager, Autodesk Research, Generative AI. Location: London or remote (within UK). Autodesk supports a hybrid work … engineers. Develop scalable distributed systems for processing, filtering, and deploying datasets for machine learning. Process large, unstructured, multi-modal data sources (text, images, 3D models, code, metadata) into ML-ready formats. Conduct experiments on data to derive insights. Create visualizations and summaries to communicate data insights to researchers and leadership. Work with legal and trust teams to ensure data More ❯

possible units. Drive the team to be high-performance. Data Plan, design, and implement scalable data pipelines. Develop and implement data models and algorithms to support data science and machine learning initiatives. Optimize data storage and retrieval systems for maximum performance. Continuously monitor and improve data solutions to meet client needs. Software Plan, design, and implement secure, scalable … complex ETL projects end-to-end. Expertise in data modeling, access, and storage techniques. Experience with relational and document databases. Strong understanding of data structures and algorithms. Familiarity with Machine Learning, Statistics, and AI is desirable. Experience with GitHub (Source Control). Software Expertise with Kotlin (or Java). Experience building secure, scalable JVW-based solutions. Strong skills More ❯

About the Role As a Senior Data Scientist, you’ll take ownership across the full lifecycle of model development —from data wrangling and feature engineering to building and deploying ML models in production. Your work will directly power business decisions across underwriting, fraud detection, and customer conversion . This is a hands-on, end-to-end role where your skills … a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field Brings advanced SQL skills and strong experience with Python (pandas, sklearn, seaborn, etc.) Understands the mechanics behind ML algorithms—not just how to run them Enjoys solving problems and improving processes Has hands-on experience developing underwriting or behavioural credit models - Expect to be using your skills to … key aspect of the role — Be ready to bring your team's ideas to life! It’s a plus if you also have: A Master’s in Data Science, ML, or a related field Credit card industry knowledge Experience with deep learning (Keras, TensorFlow) Familiarity with GitHub or Bitbucket Tableau experience or similar An interest in applying research to More ❯

About the Role As a Senior Data Scientist, you’ll take ownership across the full lifecycle of model development —from data wrangling and feature engineering to building and deploying ML models in production. Your work will directly power business decisions across underwriting, fraud detection, and customer conversion . This is a hands-on, end-to-end role where your skills … a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field Brings advanced SQL skills and strong experience with Python (pandas, sklearn, seaborn, etc.) Understands the mechanics behind ML algorithms—not just how to run them Enjoys solving problems and improving processes Has hands-on experience developing underwriting or behavioural credit models - Expect to be using your skills to … key aspect of the role — Be ready to bring your team's ideas to life! It’s a plus if you also have: A Master’s in Data Science, ML, or a related field Credit card industry knowledge Experience with deep learning (Keras, TensorFlow) Familiarity with GitHub or Bitbucket Tableau experience or similar An interest in applying research to More ❯

security, access control and authorisation, GDPR, data privacy, and information security Awareness of data models in a Medalion Architecture Experience building Semantic, Metric or Analytic models Experience of building Machine Learning models Any experience in MLOps or operationalising Machine Learning Knowledge of Data Quality Frameworks in Python Qualifications: Industry focused degree or equivalent working experience Azure More ❯

seeking an AI Engineer to join our team. The ideal candidate will have strong hands-on technical experience in software engineering, and a deep knowledge of Generative AI/Machine Learning. You will be responsible for building solutions and Apps around LLMs, and kickstarting our build efforts in Agentic AI. Responsibilities AI and GenAI App Development - Design, develop, and … data engineers, solution engineers, data scientists, and business stakeholders to define, design, and implement new features. Stay Updated - Keep current with the latest trends and advancements in AI and machine learning, and apply relevant innovations to projects. Documentation and Knowledge Sharing - Document work thoroughly, share knowledge, and help upskill other team members. Technical Capabilities Full-Stack Engineering Experience More ❯

paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment … high-context, ambiguous environment You are a power user of AI development tools and have a mindset for building AI-augmented workflows Desirable Experience building tools for technical users (ML, robotics, infrastructure) Experience with scientific data visualisation or complex data interfaces Experience with large-scale job orchestration frameworks such as Flyte, Spark or similar. Knowledge of GraphQL, Prisma, Kafka, or … modern cloud infrastructure (Azure, GCP, or AWS) Experiencing Data lake tools (e.g. Databricks) Exposure to AI/ML model development workflows and data tooling This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and More ❯

and Databricks Develop and implement data architectures that meet business requirements and ensure data quality, security, and compliance Collaborate with wider Product & Engineering teams to integrate data pipelines with machine learning models and analytics tools Optimise data processing and storage solutions for performance, scalability, and cost-effectiveness Develop and maintain data quality checks and monitoring tools to ensure … volunteer days to get involved with a charity of your choosing. Winning together - Equiniti ICON award vouchers; recognising the individuals going above and beyond to help the business succeed. Learning & Development - Investment in LinkedIn Learning for all colleagues. We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability More ❯

support the development of our risk management products. The International Analytics Team is a dynamic and exciting place to work: our projects are extremely varied and include developing supervised machine learning models, unsupervisedclustering type models, language modelling, network analysis and a variety of other statistical analysis methods. The successful candidate(s) will be at an early stage in … a Great Place to Work for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work Certification, we've been recognized by The Wall Street Journal … except in countries with a higher age limit subject to applicable law. Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. More ❯

talent from anywhere in the world to work in our hubs. This is a once in a lifetime opportunity to apply Generative AI and state of the art deep learning approaches to content generation, recommendations and community building. You will lead a team of Engineering Directors and Managers, empowering them to drive high performance, strong engineering culture, and ownership … technical and non-technical stakeholders. Experience with budget ownership and delivering technology projects with measurable business outcomes. Preferred Qualifications Advanced degree in Computer Science, Engineering, or related field. Deep Learning modelling expertise is highly preferred. Experience in agile, DevOps, and modern software development methodologies. Familiarity with data analytics, machine learning, or AI technologies. Prior experience in a More ❯

excellence. Play a hands-on role in resolving support issues, rolling out enhancements, and continuously improving employee engagement technologies. Act as a strategic thought partner in applying AI/ML capabilities to employee experience systems, driving automation and intelligent insights. You May be a Good Fit if: Holds a Bachelors or Masters degree in Computer Science, Engineering, or a related … and PolicyTech platforms. Experience supporting or managing risk types such as information security, compliance, operational risk, financial crimes, or technology risk in enterprise environments. Ability to introduce AI/ML solutions to enhance productivity and compliance monitoring within employee engagement systems. History of leading vulnerability management, issue remediation, and exception handling within a governance framework. Strong documentation and policy development … culture and compliance. Why Choose Fitch: Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing in Your Future: Retirement planning More ❯

team: Data & AI, the people who love using data to tell a story. We're also the world's largest team of data scientists, data engineers, and experts in machine learning and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix … roadmaps. Foundational or working knowledge Data & AI topics such as Data Management, Data Governance, Data Analysis, Data Science, Business Intelligence (BI), Generative AI, AI Ethics, Cloud Architecture, AI Platforms, Machine Learning and Data Architecture, is a plus. Why Join Us? In our dynamic culture, you'll experience unparalleled growth and development opportunities. We celebrate diverse perspectives and encourage More ❯

talent from anywhere in the world to work in our hubs. This is a once in a lifetime opportunity to apply Generative AI and state of the art deep learning approaches to content generation, recommendations and community building. You will lead a team of Engineering Directors and Managers, empowering them to drive high performance, strong engineering culture, and ownership … technical and non-technical stakeholders. Experience with budget ownership and delivering technology projects with measurable business outcomes. Preferred Qualifications Advanced degree in Computer Science, Engineering, or related field. Deep Learning modelling expertise is highly preferred. Experience in agile, DevOps, and modern software development methodologies. Familiarity with data analytics, machine learning, or AI technologies. Prior experience in a More ❯

business relationships to pursuing their passions. As a Director in Analytics, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale. As … to collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business. Responsibilities: Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines. Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions. Ensure adherence More ❯

for building platforms that empower clients. - Commitment to cybersecurity best practices and data privacy. - Automation-first mindset: from infrastructure to testing and deployment. - Growth mindset: You embrace change, continuous learning, and innovation. What's In It For You? - End-to-end ownership: Engage directly with customers to close feedback loops and shape the product. - Modern DevOps culture: Deploy microservices … Work with AI and expand your skills into Python and other emerging technologies. - Be part of a collaborative, forward-thinking team building the next generation of microservices platforms. - Continuous learning, we believe, ongoing training is key to success. Our Tech Stack - Frontend: React - Backend: Nest.js, Python/fastapi, LangChain Test Automation: Pact, Jest, Cypress, and Pytest (including AI test … banks and fintechs with cutting-edge, AI-powered regtech solutions. We're building a product and engineering team to drive the platform in an agile way, using AI and ML at its core, enabled by microservices running in AWS. We aim for full CI/CD, deploying as soon as tests are green. We value clarity, transparency, and craftsmanship in More ❯

regulatory authorities during sensitive and sometimes adversarial situations. Lead the development of training, recruiting, resourcing projects, and/or other practice-wide needs to create a positive work and learning culture. Define best practices, processes, and standards to ensure realisation of measurable improvement in value, effectiveness, efficiency and quality of services delivered to clients. To qualify for the role … Services industry, focused on financial crime, forensics, fraud, legal and regulatory compliance End to end data engineering and data science life cycle including data discovery, ETL, data analysis/machine learning, data visualisation/reporting and latest Gen AI and Agentic AI technologies Leading large and complex data and AI-driven programmes and innovating reusable tech solutions through … data engineers and data scientists where you'll make a measurable difference across some of the most prestigious businesses around, this role is for you. What we offer Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We'll provide the tools and flexibility, so you can make a More ❯

applications on Kubernetes, ensuring scalability and resilience. Use Go and/or Python for automation tasks. Troubleshoot complex issues with analytical skills. Qualifications Experience with applications, data engineering, or machine learning workloads on AWS or GCP. Hands-on with CloudFormation and Terraform. Knowledge of data security principles in cloud environments. Familiarity with AWS networking (VPCs, Route 53, Security More ❯

team: Applied Intelligence, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe … do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best WorkplacesTM.Join Accenture to work at the heart of change. Visit us More ❯