76 to 100 of 1,842 Machine Learning Jobs in London

to expand the understanding and impact of machine learning and AI throughout Trainline. We are looking for a Machine Learning Engineer to join the Product ML team to help shape the future of train travel. You will build highly innovative AI and ML products working alongside engineers, scientists and product managers to tackle complex challenges by … travel. As a part of Trainline you will be joining an environment where learning and development is top priority. You will have the opportunity to work with fellow ML enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of users. As a Machine Learning Engineer at Trainline you will... … to propose innovative data products that leverage Trainline’s extensive datasets and state of the art algorithms Create the tools, frameworks and libraries that enables the acceleration of our ML products delivery and improve our workflows Take an active part in our AI and ML community and foster a culture of rigorous learning and experimentation We'd love to More ❯

We value collaboration, open communication, and transparency. We foster team spirit, cohesion, and appreciation. Our talented people, innovative culture, and expertise enable us to deliver impactful outcomes daily. Our learning culture and flat hierarchy contribute to our success. Hear from our employees: Hitachi Solutions: Recruiting the best talent and offering outstanding career opportunities . What we offer, your benefits … for current and future needs. Advise clients on AI best practices, ensuring scalable and efficient solutions. Lead teams and projects from requirements to implementation. Identify high-value AI scenarios (Machine … Learning and Gen AI). Analyze data using tools like Microsoft Fabric, Azure Databricks, Azure Synapse, and Azure Machine Learning. Implement data pipelines and workflows with Azure ML Pipelines and Azure DevOps. Monitor ML solutions using Azure ML and Application Insights. Deploy AI solutions following coding, security, and CI/CD best practices. Present findings and recommendations using More ❯

solutions. Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure … Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights. Operationalise and deploy AI solutions … Communicate and present findings and recommendations to stakeholders and customers using tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure More ❯

solutions. Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure … Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights. Operationalise and deploy AI solutions … Communicate and present findings and recommendations to stakeholders and customers using tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure More ❯

emphasise the importance of team spirit, cohesion, and appreciation - And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don't take our word for it - Have a look at what our employees are saying: Hitachi Solutions: Recruiting … solutions. Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure … Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights. Operationalise and deploy AI solutions More ❯

help shape the future of financial services. Responsibilities Collaborate with product owners and business stakeholders to identify pain points, define use cases, and translate business needs into AI/ML solutions. Develop, test, and optimize AI models, ensuring they align with business goals and regulatory requirements. Work closely with MLOps engineers and the wider Tech and Data teams to deploy … ensuring compliance with regulatory frameworks. Skills and Qualifications Skills & Expertise Strong experience in machine learning, deep learning, and statistical analysis. Expertise in Python, with proficiency in ML and NLP libraries such as Scikit-learn, TensorFlow, Faiss, LangChain, Transformers and PyTorch. Experience with big data tools such as Hadoop, Spark, and Hive. Familiarity with CI/CD and … MLOps frameworks for building end-to-end ML pipelines. Proven ability to lead and deliver data science projects in an agile environment. Excellent stakeholder management and communication skills to bridge the gap between technical and non-technical teams. Self-driven, innovative, and highly motivated professional with a passion for delivering high-quality AI solutions. Familiarity with LLM model inference solutions More ❯

all stakeholders. Includes writing Python, following SDLC best practices, using Git, and creating data products in dbt. Includes experiment design and analysis, causal inference, hypothesis testing, feature engineering, and ML model development and deployment. You don't have to be great at all of these areas for us to want to talk to you. We want to help you grow … functional programming and testing. Good communication skills, enthusiasm, humility and a desire to learn. A preference to work in a fast-paced and unstructured environment. Nice to haves: Advanced ML skills, covering techniques such as gradient boosting, random forests and neural networks. Prior experience with Snowflake. Prior experience deploying ML models. Salary: Competitive & dependent on seniority, upward from … ago Surbiton, England, United Kingdom 2 weeks ago Greater London, England, United Kingdom 2 weeks ago Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI) London, England, United Kingdom 5 days ago London, England, United Kingdom 5 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into More ❯

for someone excited about creating practical, scalable AI applications within a fast-moving technology company. Responsibilities Responsible for identifying, collecting, cleaning, and enriching data for use in AI and ML pipelines. Perform detailed data analysis to extract meaningful insights and support model design decisions. Build, experiment with, and optimize machine learning models to meet performance requirements. Conduct quality … metrics. Support the broader adoption of AI across the organization and contributes to the AI Guild community. Propose AI-first strategies and contribute ideas to address business challenges through machine learning. Communicate technical recommendations and project outcomes clearly and appropriately to varied internal stakeholders. Keep up to date with developments in artificial intelligence, machine learning, deep learning … learning frameworks such as Scikit-learn, Keras, and PyTorch, with additional familiarity with MLFlow and AzureML seen as a positive. Have working knowledge of CI/CD practices, ML Ops, ML pipelines, automated testing, and platforms such as AzureML, Google Cloud, or AWS. Possess hands-on experience in using and developing LLM-powered applications, including retrieval-augmented generation (RAG More ❯

future of Generative AI in life sciences? As a Senior AI Scientist at IQVIA, you will play a pivotal role in architecting, developing, and deploying cutting-edge AI/ML solutions that transform how pharmaceutical companies operate and innovate. You will work at the forefront of machine learning, leading initiatives that leverage large language models (LLMs), agentic AI … functionally with engineering, product, and domain experts to ensure AI solutions align with customer needs and compliance frameworks. Contribute to publication strategies and represent IQVIA at leading AI/ML conferences (e.g., NeurIPS, ICML, ICLR). Qualifications: PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field, with a strong publication record in top-tier AI … Extensive experience with fine-tuning/distillation of large-scale language models, with hands-on expertise in SFT, PPO, and reward modeling. Deep proficiency in Python and AI/ML frameworks such as PyTorch, LangChain, LangGraph, GraphRAG, and AutoGen. Experience with modern vector and graph databases (e.g., ChromaDB, Neo4j) and LLMOps platforms (e.g., Azure, Databricks, Azure OpenAI). Proven track More ❯

about working at the forefront of applied research in an industry setting?Thomson Reuters Labs is seeking scientists with a passion for solving problems using state-of-the-art machine learning, natural language processing and generative AI. What doesThomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research … with stakeholders to define scope, determine feasibility, and translate business/customer objectives into technical requirements. Partner effectively with Engineering to ensure well-managed software delivery and co-design ML Ops processes related to model monitoring, evaluation, and retraining. Support and coach junior scientist by providing advice, mentoring, and training. Be an NLP expert About You: You're a fit … Applied Scientist if your background includes: PhD in a relevant discipline or Master's plus a comparable level of experience 5+ years of hands-on experience building NLP/ML/Knowledge Graph/GenAI systems for commercial applications Practical experience with traditional and state-of-the-art NLP methods, Knowledge Graph algorithms, and GenAI (including RAG and agentic frameworks More ❯

systems Oversee the delivery of complex data-related projects, ensuring timely completion, quality, and adherence to budget and resource constraints Foster a culture of collaboration, knowledge-sharing, and continuous learning within the Data Engineering team Mentor junior engineers, providing guidance and support in their professional development Ensure compliance with data security and privacy policies, and implement appropriate access controls … with data engineering Strong hands-on knowledge of data platforms and tools, including Databricks, Spark, and SQL Experience designing and implementing data pipelines and ETL processes Good knowledge of ML ops principles and best practices to deploy, monitor and maintain machine learning models in production Familiarity with Git CI/CD and MLflow for managing and tracking code … in production Experience with container technologies (such as Docker) and orchestration technologies (such as Kubernetes) Experience working in ecommerce or retail industries An understanding of security measures related to ML models ensuring adherence to data privacy regulations YOU (BEHAVIOURAL SKILLS) Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data infrastructure issues Proficient collaborating with More ❯

how to leverage LLMs, neural networks, and emerging AI technologies to solve complex application testing and deployment challenges. Key job responsibilities Design AI-powered test automation frameworks that leverage machine learning for intelligent test case generation, predictive analytics, and autonomous test maintenance across mobile and cloud platforms Architect next-generation test infrastructure that combines traditional CI/CD … distributed systems Pioneer innovative quality practices that leverage AI for automated performance analysis, intelligent chaos engineering scenarios, and predictive system reliability testing Design self-healing test systems that use machine learning to adapt to application changes, automatically … maintain test suites, and provide AI-driven insights into test coverage Drive adoption of AI-augmented testing practices across teams, focusing on the integration of intelligent automation tools and ML-based testing approaches in our development workflow A day in the life As a Senior Test Innovation Engineer, you'll lead the evolution of our next-generation automation platform while More ❯

innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Our consultants are at the heart of everything we do, and we have been recertified as a 2025 Great Place to Work. This achievement not …/sell option. Private medical insurance. Life cover. Cycle to work scheme. Eligibility for company pension scheme (5% employer contribution, salary sacrifice option). Employee assistance programme. Bespoke online learning via Udemy for Business. More ❯

Join our world-class team today and fulfill your career potential! The Opportunity As an AI Pre-Sales Scientist, you will communicate FICO's AI/Gen AI and machine learning/analytic methods and innovations to clients, supporting sales efforts for FICO's solutions that manage risk, combat financial crime, build profitable customer relationships, and meet regulatory … Do Enhance engagement with internal and external stakeholders on AI/Gen AI topics. Drive customer understanding of FICO's AI/Gen AI products, aligning customer needs with machine learning and analytic methods. Provide feedback for product development based on customer interactions. Participate in research to identify emerging AI/Gen AI trends and technologies to develop … What We're Seeking MSc in computer science, engineering, physics, statistics, mathematics, operations research, or natural sciences, with hands-on data science experience including AI/Gen AI and machine learning. Experience analyzing large data sets, data cleaning, and statistical analysis. Proven experience with at least three machine learning algorithms (e.g., neural networks, logistic regression, random forests More ❯

programs. Align with our industry partners to develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics to identify new and innovative … opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client … functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big More ❯

are responsible for building features and designing and implementing new endpoints. This involves diverse tasks from gathering requirements and giving feedback on technical feasibility to working closer to the machine learning team to bring the power of our AI to the product We build products, APIs, frameworks and world-leading deep learning NLP technology . Our tech … areas of the company to gather the insights needed for well-rounded solutions. Contribute to the development of the next generation of our Cognitive Skill Builder, collaborating with the Machine Learning team to integrate advanced AI features. Work with the Machine Learning and Data Science teams to bring the latest AutoNLU innovations directly to Studio, empowering More ❯

shaping how they apply data, analytics, and innovation across the product development lifecycle A global network of multidisciplinary experts in AI, clinical development, regulatory strategy, and digital health Continuous learning and growth through Accenture's world-class training programs, mentorship, and access to cutting-edge tools and knowledge A collaborative, purpose-driven culture that encourages bold thinking, values diverse … and innovation initiatives within the R&D team and wider Life Sciences practice Qualification We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big … Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci More ❯

design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to financial data environments Monitor and manage model performance, including addressing issues related to explainability, data drift and model drift … opportunities, risks and strategies in accessible terms, particularly in the financial services context Maintain up-to-date knowledge of industry trends, emerging technologies and regulatory changes impacting AI/ML in financial services Support pre-sales activities, including client presentations, demos and RFP/RFI responses tailored to financial services prospects Requirements Bachelors or Masters degree in Data Science, Computer … LLMs and their application in areas like financial document analysis, customer service chatbots or regulatory reporting Expertise in fraud detection techniques, anomaly detection and compliance analytics Strong understanding of ML Ops principles and experience in deploying and managing AI/ML models in financial systems Proficiency in Python and familiarity with AI/ML tools and platforms such as Azure More ❯

and ensure your processes are documented for scalability. Must-Have What You’ll Bring: A degree in Computer Science, Mathematics, Physics, or a related field. Extensive experience in building machine learning models for tasks like recommendations, segmentation, forecasting, and optimising marketing spend. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in tools like Jupyter notebooks … FastAPI), and building custom dashboards (Dash). Why You’ll Love It Here Variety and Challenge: No two projects are the same. You’ll work across multiple industries, constantly learning and growing as you tackle new problems. Innovation at the Core: We’re at the cutting edge of AI and marketing, and you’ll have the freedom to experiment … England, United Kingdom 1 week ago London, England, United Kingdom 3 weeks ago London Area, United Kingdom £120,000 - £120,000 10 hours ago Research Scientist (Quantum Chemistry and Machine Learning), London London, England, United Kingdom 3 weeks ago London, England, United Kingdom 2 days ago Quantitative Researcher (Machine Learning) London, England, United Kingdom 4 months More ❯

external technology vendors. Strong Story Telling skills - excellent communication, with senior management exposure. Deep understanding of business drivers/processes and ability to relate segment priorities to associated technology. Learning agility and desire to learn new technology. Strong problem analysis, negotiating and influencing skills. Proven track record to get things done in a matrixed organisation and influencing without authority. … end-to-end data platforms – covering Demand, Supply, R&D, and Commercial. Develop and deliver communication and education plans on analytics data engineering capabilities, standards, and processes. Partner with machine learning engineers, BI, and solutions architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial … and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we’re striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. #TBDDT Mars is an equal More ❯

Skills We are recruiting at various levels within the salary range, so candidates are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks More ❯

Actively participate in knowledge sharing within the Analytics excellence team, the wider data team and business teams. Providing mentorship to junior team members and contributing to a collaborative and learning-oriented environment. Continuous learning : Keep up-to-date with advancements and trends in data science and marketing analytics to ensure we employ the most optimal techniques, tools and … business challenges. Practical and outcome driven mindset. Proficiency in statistical modelling : Demonstrated experience in developing and deploying statistical models, with a strong understanding of various, including supervised and unsupervised learning methods. Additional knowledge of GenAI and LLMs is an advantage. Software development skills : Strong programming experience, ideally in Python. Ability and willingness to work alongside analytics engineers, data analytics … technical (software, data and platform engineers). Practical mindset with a focus on team outcomes as well as being a self starter able to proactively drive forward initiatives. Continuous learning and adaptability: Commitment to staying updated on the latest developments in data science and machine learning. Ability to work in a fast paced, high innovation environment. At Funding More ❯

ELT processes, SQL, NoSQL databases is a nice-to-have, providing a well-rounded background. Experience with data visualization tools and DevOps principles/tools is advantageous. Familiarity with machine learning and AI concepts, particularly in how they integrate into data architectures. Design and Lifecycle Management: Proven background in designing modern, scalable, and robust data architectures. Comprehensive grasp … infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects. Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that … Inclusion Together at NTT DATA UK | NTT DATA What we'll offer you: We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options. You can find more More ❯

Site Reliability Engineering. Contribute to, and take a leadership role in, driving ongoing improvements to our engineering principles, practices, and tooling. Provide support & mentorship to junior engineers, prioritising continuous learning and development. Develop and maintain a contemporary understanding of AdTech developments, industry standards, partner and competitor platform developments, and commercial models, from an engineering perspective. Combined these insights with … concurrent, distributed systems, solving difficult and novel problems, and leading engineering and operational teams working in this space. Proven experience in developing data structures and algorithms. Experience working with ML/AI highly desirable. Proven experience contributing to product strategy development with Product Management teams. Experience in SaaS product engineering and operations highly desirable. Proven experience in modern software development … the principles, practices, and tooling supporting agile, testing/QA, DevSecOps , automation, SRE. Experience in Trunk Based Development, XP, & implementing CI/CD highly desirable. A focus on continuous learning and improving, both technically and professionally, in your industry, for you and your teams. Demonstrated resilience, with experience working in ambiguous situations. Strong English, excellent influencing and communication skills More ❯

Learning Scientist to join our Search & Ranking team in the UK. As part of the team, you will work alongside a Product Manager, Backend Engineers, and other ML Scientists, playing a key role in building innovative models to power Depop's search engine and ranking across the app. Responsibilities: Research, design, and deliver ML solutions to address problems … within the search & discovery space, such as: Learning-to-rank models Vector search & embedding models etc. Understand requirements from various partners across the business, designing machine learning solutions to solve business problems, such as: How can we surface relevant results for this search? How can we show users personalized results in real time? What is the right … team player with the ability to work with multi-functional teams, including technical and non-technical stakeholders. Passion for learning new skills and staying up-to-date with ML algorithms. Bonus points Experience with Databricks and PySpark. Experience with deep learning & large language models. Experience with traditional, semantic, and hybrid search frameworks (e.g., Elasticsearch). Experience working with More ❯