426 to 450 of 915 Machine Learning Jobs in London

cloud-native services, and on-prem platforms to enforce security-by-design principles. Deliver security capabilities that support modern work scenarios, remote access, zero-trust networking, and AI/ML workloads. Leverage automation frameworks and IaC to improve scalability and reduce manual intervention. Operational Security, SRE & Assurance: Ensure security platforms are resilient, continuously monitored, and designed for 24x7 support and More ❯

with applications in therapeutics, nutrition and agriculture. At Basecamp Research, we pride ourselves on being a diverse, exciting, fun, and flexible place to work. Our team of biologists, engineers, ML scientists, and field explorers is united by a sense of adventure and the belief that nature has already designed the solutions to our planet's greatest challenges - we just need More ❯

compliance. Lead the transition from external teams to a hybrid development function. Ensure GDPR and security compliance while optimizing system reliability. Drive AI innovation, leveraging the latest advancements in machine learning & NLP. Define a … long-term technology strategy, aligning AI capabilities with business goals. Risk Assessment & Technical Debt Analysis to identify any areas needing attention. Support & Maintenance management Skills and Experience AI/ML Expertise: Strong understanding of LLMs, NLP, and AI-driven recommendations. Technical Leadership: Experience in AI product scalability, DevOps, and cloud architecture. Backend & Data Skills: Proficiency in Python, Node.js, PostgreSQL, MongoDB … of Jenkins, GitHub Actions, Terraform, and CloudFormation. What's in It for You? Lead the AI vision for a next-generation recruitment product. Work with cutting-edge AI/ML technologies. Influence business decisions at the highest level. Join a dynamic, innovative, and growth-focused environment. Benefits Hybrid working as standard 25 days annual leave plus bank holidays Flexible holiday More ❯

a related field. Proven experience in data analysis, preferably in marketing, advertising, or public relations. Proficiency in programming languages including Python and R, along with SQL. Strong understanding of machine learning techniques and statistical modelling. Excellent communication skills with the ability to convey complex information simply and effectively. Why Join Us? Impactful Work: Contribute to exciting projects that … the future of brand engagement. Dynamic Environment: Be part of a vibrant team that values creativity, innovation, and collaboration. Growth Opportunities: We believe in nurturing talent and offer continuous learning and development. Work-Life Balance: Enjoy a flexible working environment that prioritises your well-being.LHH is an employment consultancy that believes in talent, not labels. It is important to More ❯

Do you want to leverage your AI/ML skillset in a rapidly growing start-up that’s focused on Gen AI advancements? Do you want the freedom to work with a diverse range of clients and be responsible for creating bespoke end-to-end technical solutions for them? You’ll be joining a start-up whose founders have already More ❯

Do you want to leverage your AI/ML skillset in a rapidly growing start-up that’s focused on Gen AI advancements? Do you want the freedom to work with a diverse range of clients and be responsible for creating bespoke end-to-end technical solutions for them? You’ll be joining a start-up whose founders have already More ❯

to working prototypes You're comfortable working with experimental technologies, incomplete documentation, and beta tools You can write production-quality code in Python and work with modern AI/ML frameworks You have experience with multiple AI technologies including LLMs, traditional ML, and emerging architectures You're inherently curious about cutting-edge developments and can make informed predictions about technology … small team environments where your individual contributions have immediate, visible impact Bonus Points Experience with talent acquisition, workforce analytics, or marketplace technologies Background in distributed systems and massive-scale machine learning Track record of identifying and successfully implementing emerging technologies before widespread adoption Experience in client-facing or consulting role What's In It For You Invisible is More ❯

and expert consultancy. These professional services engagements will focus on key customer solutions such as Cloud Infrastructure, DevOps transformations, Web applications, Enterprise applications, Big Data Infrastructure, Artificial Intelligence and Machine Learning solutions. Key job responsibilities • Expertise - Collaborate with AWS field business development, marketing, training and support teams to help partners and customers learn and use AWS services such … 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 conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance More ❯

impressive external recognition for its innovative offerings, best-in-class capabilities, and tangible impact for customers across various industries. Ancoris was recognized as a Leader for Data, Analytics, and Machine Learning in the ISG Provider Lens for Google Cloud Partner Ecosystem in 2024, and a Rising Star in 2022 and 2023. Sundown is accredited as an Azure Expert … come first. That's why you'll have access to private medical insurance, employee assistance programmes, group life assurance, income protection and access to a market leading benefits platform. Learning & development. We will support you in your growth journey and cover the costs of your role-based certifications. We have first hand experience that diversity encourages creativity and innovation More ❯

experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). … Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for ML workflows. Visualization & Communication: Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain: Significant plus if experienced with football More ❯

strategy, and innovation—building models, uncovering insights, and driving impact across the business. What You’ll Do Build and automate data pipelines from diverse sources Design predictive models and machine learning solutions Translate complex data into actionable insights for stakeholders Collaborate across teams to solve real-world business challenges Influence decision-making with evidence-based recommendations What We More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

ID/Azure AD/Group Policy. And become Familiar with Imperva WAF/DDoS, Menlo, Cisco security, KnowBe4, Digicert, patching tools, web application scanners, and Kali Linux, AI, Machine Learning You could gain: Security certifications (CISM, MS Security, OSCP preferred). Financial services/SOC/pentesting background desirable. Strong communication and problem-solving skills. Location & Hours More ❯

fast-paced R&D environment. Experience in catastrophe modelling, especially around exposure and vulnerability. Applied statistical skills such as Bayesian statistics, uncertainty quantification, or Extreme Value Theory. Knowledge of machine learning applications in climate risk. Familiarity with cloud platforms (e.g., AWS, Google Cloud). If this role looks of interest, please apply below. Please note - this role does More ❯

fast-paced R&D environment. Experience in catastrophe modelling, especially around exposure and vulnerability. Applied statistical skills such as Bayesian statistics, uncertainty quantification, or Extreme Value Theory. Knowledge of machine learning applications in climate risk. Familiarity with cloud platforms (e.g., AWS, Google Cloud). If this role looks of interest, please apply below. Please note - this role does More ❯

next-generation insights for underwriting, credit risk, and product innovation. You'll define the data platform strategy, modernise infrastructure, and enable large-scale data processing to support analytics and machine learning use cases. Leading a team of four Data Engineers, you'll combine strategic vision with hands-on technical leadership in a fast-paced, high-growth environment. The More ❯

Proficiency in Python and SQL for data processing and analysis Experience working with market data and its applications Familiarity with Databricks, Snowflake, and other modern data platforms Knowledge of machine learning and data science concepts is a plus This is a hybrid role based in London up to three days per week, with the rest of the week More ❯

Proficiency in Python and SQL for data processing and analysis Experience working with market data and its applications Familiarity with Databricks, Snowflake, and other modern data platforms Knowledge of machine learning and data science concepts is a plus This is a hybrid role based in London up to three days per week, with the rest of the week More ❯

of relational and non-relational databases Apply Gen AI tools to boost development speed and code quality Maintain and optimise large-scale data collection processes Support the deployment of machine learning models into production To be successful in the role you will have: Creating scalable ETL jobs using Scala and Spark Strong understanding of data structures, algorithms, and More ❯

touch ASAP as interviews are already taking place. Don't miss out! Key Skills: AWS, Data, Architecture, Data Engineering, Data Warehousing, Data Lakes, Databricks, Glue, Pyspark, Athena, Python, SQL, Machine Learning, London More ❯

of relational and non-relational databases Apply Gen AI tools to boost development speed and code quality Maintain and optimise large-scale data collection processes Support the deployment of machine learning models into production To be successful in the role you will have: Creating scalable ETL jobs using Scala and Spark Strong understanding of data structures, algorithms, and More ❯

touch ASAP as interviews are already taking place. Don't miss out! Key Skills: AWS, Data, Architecture, Data Engineering, Data Warehousing, Data Lakes, Databricks, Glue, Pyspark, Athena, Python, SQL, Machine Learning, London More ❯