101 to 125 of 233 Machine Learning Jobs in the City of London

Lead Software Engineer | Python, ML, AI, | Hybrid | London Backed by technology start-up accelerator and venture capital firm £60,000 - £80,000 per annum | 2+ Years of Experience Join a mission-driven AI startup transforming how medical and healthcare organisations collaborate. Using machine learning and advanced recommendation systems, the team helps to matchmake some of the leading Medical … ll have enormous amount of autonomy and project ownership working in a fast paced start up environment. What You’ll Do: Build product-facing AI solutions and collaborate on ML model development, training, and deployment. Design and develop scalable backend and full-stack systems with robust APIs and efficient data flows. Work with SQL & NoSQL databases (Postgres, MongoDB, Elasticsearch) and … rapid delivery with robust architecture and quality. Must-Haves: 1–2+ years of professional software engineering experience (backend, DevOps, or full stack). Proficiency in Python and experience building ML-oriented solutions. Hands-on experience with DevOps, CI/CD pipelines, and version control. Familiarity with cloud platforms, preferably Azure. Comfortable with SQL and NoSQL databases. Right to work in More ❯

performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to drive innovation. Your analytical rigor will be critical to advancing … Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of experience in a data science or analytics role, preferably within the AI/ML industry. Expert-level proficiency in Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly … projects. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to drive innovation. Your analytical rigor will be critical to advancing … Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of experience in a data science or analytics role, preferably within the AI/ML industry. Expert-level proficiency in Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly … projects. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with … equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark More ❯

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with … equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark More ❯

and capabilities that these typically solve for Familiarity with one or more of the hyperscale cloud platforms (Azure, AWS, GCP) Knowledge of emerging efficiency driving technologies such as AI, Machine Learning, and/or intelligent automation Proven aptitude in business development , encompassing account planning, pitches, and proposals. Your Key Abilities: Exceptional interpersonal skills spanning organizational levels, including ability More ❯

and capabilities that these typically solve for Familiarity with one or more of the hyperscale cloud platforms (Azure, AWS, GCP) Knowledge of emerging efficiency driving technologies such as AI, Machine Learning, and/or intelligent automation Proven aptitude in business development , encompassing account planning, pitches, and proposals. Your Key Abilities: Exceptional interpersonal skills spanning organizational levels, including ability More ❯

Principal Cybersecurity Machine Learning Engineer The position is a senior technical role, requiring knowledge of data engineering, data science, advanced analytics techniques, research and development, and innovation within one or more of the Cybersecurity sciences (e.g. network, endpoint and cloud security, cryptography, malware analysis, vulnerability assessment, privileged access management, anomaly/intrusion detection, incident response, or offensive security … The ability to conduct cybersecurity industry research and rapidly develop data-driven prototypes for live business problems faced by Cybersecurity teams Experience developing custom security applications, APIs, AI/ML models, detections, automations, and advanced analytic technologies to mitigate against current and emerging threats The ability to act as a Cybersecurity data domain expert and advise stakeholders how to use More ❯

+ 10% bonus + 10% Pension + Private Healthcare LONDON - 4 Days in office Lead a growing team of AI Scientists working on high-impact, AI driven machine learning models to drive innovation in the BioTech space - specifically around drug discovery and RNA sequencing ROLE AND RESPONSIBILITIES Working closely within a small team, to design and build models More ❯

s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL Strong technical expertise in AI/ML and advanced analytics. Ideally industry experience within Insurance **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest by sending your CV to Emily More ❯

s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL Strong technical expertise in AI/ML and advanced analytics. Ideally industry experience within Insurance **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest by sending your CV to Emily More ❯

children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the Business LexisNexis Legal & Professional are a leading global provider of legal and regulatory intelligence. We … give organisations the business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. More ❯

children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the Business LexisNexis Legal & Professional are a leading global provider of legal and regulatory intelligence. We … give organisations the business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

in partnership with approved vendors—to align on business needs, define use cases and develop implementation plans as part of overall product roadmap. Collaborate with team-members (software engineer, ML engineers, data engineers, product owners, etc.) in design reviews and critical feedback sessions to continuously improve product delivery Partner with and influence stakeholders across the insights & analytics space and in More ❯

and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. Background in Azure data platforms. Desirable: Python for automation and analytics. Exposure to AI/ML-driven BI (e.g. natural language querying, automated insights). Experience with CI/CD for BI solutions and version control (Git). Interview Process: Initial screening call. Face-to-face More ❯

in partnership with approved vendors—to align on business needs, define use cases and develop implementation plans as part of overall product roadmap. Collaborate with team-members (software engineer, ML engineers, data engineers, product owners, etc.) in design reviews and critical feedback sessions to continuously improve product delivery Partner with and influence stakeholders across the insights & analytics space and in More ❯

and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. Background in Azure data platforms. Desirable: Python for automation and analytics. Exposure to AI/ML-driven BI (e.g. natural language querying, automated insights). Experience with CI/CD for BI solutions and version control (Git). Interview Process: Initial screening call. Face-to-face More ❯

React, Next.JS, Node.js, Python, and AWS. Strong understanding of software architecture, design patterns, and best practices. Experience with cloud infrastructure and services, particularly AWS. Experience working with AI/ML toolings Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment. Strong communication and interpersonal skills, with the ability to articulate complex technical concepts More ❯