376 to 400 of 1,452 Machine Learning Jobs in London

ability to communicate effectively and build relationships. Bonus Skills: Interest in Cloud Technologies: Understanding of cloud services integration within applications, particularly using Kubernetes or similar architectures. Curiosity around AI & Machine Learning: Interest in exploring how AI can enhance user experiences and applications. Please note you do not need to have experience with all of the technologies listed above More ❯

s working, what's not, and what to test next. Translate raw data into board-level insights - clear, concise, commercially relevant, and rooted in rigorous analysis. Leverage AI/ML tools (e.g. LLMs, RAG, clustering, regression) to build smarter internal tools and identify untapped growth levers. Design, implement, and interpret A/B tests and experiments that directly inform roadmap … day each year after 2 years tenure). Private medical insurance for you and your family with Vitality. Company pension contribution. Access to professional development resources and opportunities. Annual Learning & Development budget to support your professional growth. Monthly social budget to enjoy team activities and build connections. The Finish Line: If you are an experienced Senior Product Analyst with More ❯

our business units. Our Technology teams offer you an environment full of exciting challenges - whether it's supporting and developing legacy systems or introducing modern technologies such as AI, machine learning, and highly automated trading applications. Our IT department, with around 300 employees, works mostly in an agile manner using a Scrumban approach and covers areas such as More ❯

deliver upon these features and experiences. • Lead the end-to-end product lifecycle, from ideation and roadmap development to launch, optimization, and scaling. • Work back from our customers by learning from their feedback, behavioral measurements, and other data sources to craft better experiences and ensure we are building the right features over time. • Monitor key performance indicators (KPIs) and … degree or higher (ideally in a technical field such as computer science or engineering). PREFERRED QUALIFICATIONS - MBA or other relevant advanced degree. - Experience with Generative AI, LLM and ML models - Proven track record of defining and building highly trusted brands visible to millions of customers in an eCommerce environment. Our inclusive culture empowers Amazonians to deliver the best results More ❯

Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. Proven experience with optimisation using linear programming with a preference for More ❯

solutions on AWS. You'll work closely with cross-functional teams including Data Science, BI, and Product Analytics to develop cloud-native, scalable data infrastructure powering advanced analytics and machine learning. As a Senior Engineer, you'll not only deliver code — you'll take ownership, lead small teams, mentor others, and contribute to shaping our engineering culture and best … Incentive scheme up to 10% of annual salary , based on company performance. Your wellbeing is paramount so you can get away and take 33 Days Holiday per year . Learning and Development opportunity with Holland & Barrett is a great base for career development long term. Private Medical Care (Self after 1 year) Career progression. Refer and Earn Scheme - as More ❯

Senior Applied Data Scientist who expects more from their career. It's a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of More ❯

with a specific focus on the GB and/or European power systems. Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. Proven experience with optimisation using linear programming with a preference for More ❯

with a specific focus on the GB and/or European power systems. Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. Proven experience with optimisation using linear programming with a preference for More ❯

etc.) Interest or experience in building internal data communities or enablement programs Working with diverse data sources (APIs, CRMs, SFTP, databases) and formats (Parquet, JSON, XML, CSV) Exposure to machine learning models or AI agents Why Join Us Help shape the future of data in an organization that treats data as a product Work in a modern data More ❯

part of our Agile development team. In this role, you'll drive the evolution and implementation of data products, ensuring high-quality, accessible, and trusted data that fuels analytics, machine learning, and personalised experiences. You will work cross-functionally to create data products that empower teams across the business, from marketing to operations, and enable insight-driven decisions. More ❯

skills - providing one-on-ones, resolving conflicts, creating career development plans, mentoring and growing engineers Extensive knowledge of engineering practices and Agile methodologies Nice to have: Experience working with ML models Full-stack development experience Hands-on experience with DevOps tools and practices Outstanding communication skills Experience building consumer or client-facing products Understanding of A/B testing techniques … months a year Six months paid maternity leave, and one months paid paternity leave (subject to qualifying conditions) inclusive of same-sex and adoptive parents Career growth, progression, and learning development resources Annual salary reviews Unlimited free premium Flo subscriptions A whole host of other benefits (health/pension/social schemes) Our Culture We're problem solvers, we More ❯

helping startups use GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities Collaborate with AI/ML scientists and engineers to research, design, develop, and evaluate generative AI solutions to address real-world opportunities Interact with customers directly to understand their business problems, aid them in implementation … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising More ❯

for things that move, like ships and planes, transforming connectivity and digital experiences even in the most remote and hard-to-reach places. The Quvia platform uses AI and machine learning to seamlessly blend any combination of connectivity, regardless of provider, orbit or network, into one, vendor-neutral environment. It then delivers comprehensive, end-to-end analytics and More ❯

footballers' legs. Ki's mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

or Tableau. Skilled in segmentation, stratification, equity analysis, and predictive analytics. Excellent project and stakeholder management, with ability to lead multiple complex streams simultaneously Experience in data science and machine learning projects in the healthcare sector. Desirable Previous experience working in, or collaborating with, academia, in high impact and multi-institutional settings. Previous experience or building or working More ❯

GPU-backed Compute, Storage, and/or Secure DC Networking solutions). Must include track record of selling into the SP or Neocloud space. Practical knowledge of AI/ML technologies and their applications, including understanding language models (LLMs), and experience with training and fine-tuning LLMs using frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. Good understanding of programming … inclusive future for all. Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their More ❯

methodologies, with the goal of reduced complexity, improved performance, and cost efficiency Collaborate with Analysts and Data Scientists to prepare and model data for predictive analytics and AI/ML initiatives Implement and maintain data observability and quality monitoring solutions, including custom alerting, to ensure the reliability and integrity of our data assets Work closely with Engineering teams to understand … days after 2 years of employment Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist Pension and life insurance Health cash plan, online GP, 24/7, Employee Assistance Plan Full access to More ❯

Based on your experience and area of interest, you may work on Technology projects in key areas such as: Cloud & Enterprise Modernisation Data Architecture, Transformation & Analytics Automation, Artificial Intelligence & Machine Learning Platform Modernisation Digital Assets & Decentralised Ledgers Digital Transformation Enablement Wealth Technology Technology Strategy, FinTech & Innovation You will collaborate with colleagues from across Accenture in Technology, Operations and More ❯

Machine Learning solutions for autonomous driving. Our team tackles groundbreaking challenges in designing state-of-the-art neural networks, pioneering innovative end-to-end architectures, and advancing ML techniques in perception, prediction, and motion planning. We're passionate about pushing the boundaries of autonomous systems through deep learning and optimization, particularly in complex 3D geometric computer vision … cross-org collaborative project is synergistic with TRI's robotics division's efforts in Diffusion Policy and Large Behavior Models (LBM). Responsibilities Support the design and development of ML models or model components for end-to-end autonomous driving: ranging from initial data strategy, design, development, experimentation, evaluation, and deployment; Able to navigate ambiguities and address uncertainties arising from … time zones to define interfaces and requirements for an end-to-end stack; Experience MS, or higher degree, in a related field, or equivalent industry experience Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred) Experience with data sampling and data curation pipelines for autonomous driving datasets Experience in state-of-the-art architectures for end More ❯

Machine Learning solutions for autonomous driving. Our team tackles groundbreaking challenges in designing state-of-the-art neural networks, pioneering innovative end-to-end architectures, and advancing ML techniques in perception, prediction, and motion planning. We're passionate about pushing the boundaries of autonomous systems through deep learning and optimization, particularly in complex 3D geometric computer vision … cross-org collaborative project is synergistic with TRI's robotics division's efforts in Diffusion Policy and Large Behavior Models (LBM). Responsibilities Support the design and development of ML models or model components for end-to-end autonomous driving: ranging from initial data strategy, design, development, experimentation, evaluation, and deployment; Able to navigate ambiguities and address uncertainties arising from … time zones to define interfaces and requirements for an end-to-end stack; Experience MS, or higher degree, in a related field, or equivalent industry experience Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred) Experience with data sampling and data curation pipelines for autonomous driving datasets Experience in state-of-the-art architectures for end More ❯

to thousands of accelerators. Test and evaluate new internal software releases, provide feedback to software engineering teams, make vital code fixes, and conduct code reviews. Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency. Design and conduct experiments on novel AI methods, implement them, and evaluate results. Collaborate with Research, Software, and Product teams to … knowledge of C++ or other languages is a plus). Familiarity with deep learning fundamentals such as models, optimisation, evaluation, and scaling. Experience in designing, executing, and reporting ML experiments. Ability to work quickly and effectively in a dynamic environment. Enjoy cross-functional collaboration with other teams. Strong communication skills, capable of explaining complex technical concepts to diverse audiences. … Experience in one or more areas such as distributed training of large-scale ML models, building production systems with large language models, efficient computing with low-precision arithmetic, or large generative models for language, vision, and other modalities. Experience writing C++, Triton, or CUDA kernels for performance optimisation of ML models. Contributions to open-source projects or published research papers More ❯

cause and help us apply AI to transform the way biomedical professionals carry out their research and day-to-day exploration. What you'll be doing • Design and implement ML/AI solutions end-to-end, from the idea and data exploration phase to deployment and monitoring, balancing cutting-edge techniques with pragmatism to deliver measurable impact. • Apply strong software … observability, to ensure AI systems are reliable, maintainable, production-ready and can be readily adapted to future developments. • Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM-based solutions, and agentic solutions to balance trade-offs between speed, cost, complexity, interpretability, and performance. • Collaborate closely with product, design, and other engineering teams to … experience you'll need to be successful • A master's degree or above in Computer Science, Electrical Engineering or a related field. • 5+ years of experience building AI/ML systems in production environments, including ownership of key lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring. • Proficiency in Python and modern ML and agentic frameworks such as PyTorch, TensorFlow More ❯

Functions, S3, Athena. - OCR Development: Experience with Amazon Textract, Tesseract, and LLM-based OCR. - Python Expertise: Skilled in Pandas, NumPy, scikit-learn, PyTorch, Hugging Face Transformers; modular, testable code. - ML Models: Proficient in regression, classification, clustering, and time-series forecasting. - Business Insight: Translate business needs into data-driven solutions and actionable insights. - Stakeholder Engagement: Communicate effectively across technical and non More ❯

experience in data-driven marketing, analytics consultancy or similar Familiarity with quasi-experimental designs and A/B testing frameworks Background in software design, data structures or production-grade ML engineering Technical Toolbox Modelling & data : Python or R, SQL Containerisation : Docker Cloud platforms : AWS, GCP or Azure More ❯