826 to 850 of 2,235 Machine Learning Jobs in London

our system architecture to optimise customer journeys and enhance offer generation processes. Build strong stakeholder relationships, mentor junior developers, and foster a culture of learning and innovation. The systems that relate to new applications are fundamental to iwoca's success. Share a clear technical vision that aligns with long … strategic planning. Experience building and shaping large systems in complex business domains. Bonus: Experience with Python, Django or PostgreSQL. Familiarity with data analytics and Machine Learning processes. An understanding of complex data systems, including event-sourced data models. A strong numerical or technical background, ideally with a degree … application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value diversity in thought and skill, and encourage you to More ❯

React + Typescript. Experience with Django and PostgreSQL. Familiarity with DevOps practices, including containerisation and CI/CD processes. Experience with data analytics and Machine Learning processes. A strong numerate academic background, i.e. maths, physics, computer science, engineering, or similar. The salary We expect to pay from … application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore … car scheme. Two company retreats a year, we've been to France, Italy, Spain and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like More ❯

Partner - Director AI/ML,Computational & Data Science - Want to help build the future of life sciences? 🧬 Are you passionate about AI, machine learning, computational and data science? Are you passionate about life sciences? Did you know that over the next 3 years the demand for AI/… ML talent in Europe in the life sciences industries is expected to grow over 4x faster than the overall life sciences workforce? We want to someone who can take our work in this space to the next level and build out the best talent solutions team in the industry. You … Huyghelier, Catherine Campbell and Tasha Cole) with access to over 1,400 signed T&Cs to supercharge our UK & EU-focussed Computational AI/ML business unit, covering the full spectrum of from drug discovery to commercial launch. 🔵 Why BioTalent? - Our industry reputation speaks for itself – NPS score of More ❯

Partner - Director AI/ML,Computational & Data Science - Want to help build the future of life sciences? 🧬 Are you passionate about AI, machine learning, computational and data science? Are you passionate about life sciences? Did you know that over the next 3 years the demand for AI/… ML talent in Europe in the life sciences industries is expected to grow over 4x faster than the overall life sciences workforce? We want to someone who can take our work in this space to the next level and build out the best talent solutions team in the industry. You … Huyghelier, Catherine Campbell and Tasha Cole) with access to over 1,400 signed T&Cs to supercharge our UK & EU-focussed Computational AI/ML business unit, covering the full spectrum of from drug discovery to commercial launch. 🔵 Why BioTalent? - Our industry reputation speaks for itself – NPS score of More ❯

solutions from prototypes to production feature to solve business problems using machine learning and statistical analysis Maintain and build upon our existing ML models and solutions Influence the direction of the company’s product & data strategy Synthesize analytics and statistical approaches into easy-to-consume storylines, both visually … as supporting and presenting to multiple stakeholders What we’re looking for.. 3+ years relevant industry experience Experience building or utilising end-to-end ML infrastructure and/or building ML models (Primarily NLP Applications) Experience with Cloud Platforms (Ideally AWS) Strong Python & SQL experience Experience in advertising, marketing or More ❯

solutions from prototypes to production feature to solve business problems using machine learning and statistical analysis Maintain and build upon our existing ML models and solutions Influence the direction of the company’s product & data strategy Synthesize analytics and statistical approaches into easy-to-consume storylines, both visually … as supporting and presenting to multiple stakeholders What we’re looking for.. 3+ years relevant industry experience Experience building or utilising end-to-end ML infrastructure and/or building ML models (Primarily NLP Applications) Experience with Cloud Platforms (Ideally AWS) Strong Python & SQL experience Experience in advertising, marketing or More ❯

Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Job Description 2: Lead AI/ML Ops Engineer (Recommendation Systems Focus) Role: Lead AI/ML Ops Engineer Experience Level: Senior Core Objective: Take a leading role in maintaining the operational … requirements and enhancements for the NBO suite. Ensure continuous monitoring, supervision, and version upgrades of the diverse NBO models. Guide the further development of ML models within NBO, potentially incorporating advanced techniques like GNNs, autoencoders, or transformers. Oversee data validation processes and ensure data quality for NBO inputs. Manage the … Learning, applying models in a business context, particularly for personalization or recommendation. Proven experience leading the development, deployment, and lifecycle management of complex ML systems. Strong programming skills in Python and potentially R. Expertise with relevant ML frameworks (e.g., scikit-learn, PyTorch). Experience with recommendation systems, collaborative filtering More ❯

Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Job Description 2: Lead AI/ML Ops Engineer (Recommendation Systems Focus) Role: Lead AI/ML Ops Engineer Experience Level: Senior Core Objective: Take a leading role in maintaining the operational … requirements and enhancements for the NBO suite. Ensure continuous monitoring, supervision, and version upgrades of the diverse NBO models. Guide the further development of ML models within NBO, potentially incorporating advanced techniques like GNNs, autoencoders, or transformers. Oversee data validation processes and ensure data quality for NBO inputs. Manage the … Learning, applying models in a business context, particularly for personalization or recommendation. Proven experience leading the development, deployment, and lifecycle management of complex ML systems. Strong programming skills in Python and potentially R. Expertise with relevant ML frameworks (e.g., scikit-learn, PyTorch). Experience with recommendation systems, collaborative filtering More ❯

to smarter, more personalised, and more profitable event experiences. This role is ideal for someone early in their data career who is passionate about learning and applying data science in the fast-paced world of events and hospitality. What You’ll Do Event & Guest Data Analysis Analyse guest behaviour … engagement performance metrics. Design and maintain dashboards to track KPIs like ticket sales, RSVP rates, upsell conversions, and client retention. AI & Personalisation Contribute to machine learning models for guest segmentation, attendance prediction, and personalised recommendations. Validate AI outputs and help improve algorithms using real-world feedback. Research trends … APIs (Gemini, ChatGPT, Claude) to analyse call transcripts and emails. Cloud & Deployment Working knowledge of AWS, Google Cloud, or Azure for data storage and ML deployment. Soft Skills & Compliance Strong communication skills—able to partner with non-technical teams and translate needs into solutions. Problem-solving mindset with a knack More ❯

to smarter, more personalised, and more profitable event experiences. This role is ideal for someone early in their data career who is passionate about learning and applying data science in the fast-paced world of events and hospitality. What You’ll Do Event & Guest Data Analysis Analyse guest behaviour … engagement performance metrics. Design and maintain dashboards to track KPIs like ticket sales, RSVP rates, upsell conversions, and client retention. AI & Personalisation Contribute to machine learning models for guest segmentation, attendance prediction, and personalised recommendations. Validate AI outputs and help improve algorithms using real-world feedback. Research trends … APIs (Gemini, ChatGPT, Claude) to analyse call transcripts and emails. Cloud & Deployment Working knowledge of AWS, Google Cloud, or Azure for data storage and ML deployment. Soft Skills & Compliance Strong communication skills—able to partner with non-technical teams and translate needs into solutions. Problem-solving mindset with a knack More ❯

Senor/Principal AI/ML Engineer – Biotech Salary: £80,000 - £120,000 Location: London/Remote A cutting-edge Biotech company are looking for a Senior/Principal AI Engineer to join their R&D team developing novel data solutions for Biotech applications like Oncology, Pathology & RNA-Seq. Key … Responsibilities: Collaborate with scientists, engineers, and product teams to build and scale AI/ML models. Take projects from prototype to production-ready software. Create tools for training, testing, and optimizing AI/ML models. Work across cloud and on-prem environments. Improve code quality and development speed. Key Skills … BS/BEng in Comp Sci, Biomedical or another relevant discipline Strong experience with software or algorithm development. Strong Python skills Experience with deep learning frameworks (TensorFlow/PyTorch.) Familiarity with version control (e.g., Git). Experience with Docker or other container languages A passion for applying tech to More ❯

Senor/Principal AI/ML Engineer – Biotech Salary: £80,000 - £120,000 Location: London/Remote A cutting-edge Biotech company are looking for a Senior/Principal AI Engineer to join their R&D team developing novel data solutions for Biotech applications like Oncology, Pathology & RNA-Seq. Key … Responsibilities: Collaborate with scientists, engineers, and product teams to build and scale AI/ML models. Take projects from prototype to production-ready software. Create tools for training, testing, and optimizing AI/ML models. Work across cloud and on-prem environments. Improve code quality and development speed. Key Skills … BS/BEng in Comp Sci, Biomedical or another relevant discipline Strong experience with software or algorithm development. Strong Python skills Experience with deep learning frameworks (TensorFlow/PyTorch.) Familiarity with version control (e.g., Git). Experience with Docker or other container languages A passion for applying tech to More ❯

involve development of the software product and collaboration with the clinical and scientific team. A strong software engineering background and knowledge in AI, especially Machine Learning and Natural Language Processing, is essential. For the right candidate, this is a senior technical position with scope to grow into a … data requirements and translate them into technical solutions. Collaborate with the AI team to provide clean, well-structured datasets for research, and AI/ML models. Stay up-to-date with the latest data engineering technologies and best practices. Mandatory Requirements Technical skills: A university qualification (Bachelors, Masters, Doctorate) with … development projects is a plus. Experience with research communities and/or efforts, including having published papers (being listed as author) at AI/ML/NLP/CV conferences (e.g. Bio-IT, NeuraIPS, ICML, ICLR, ACL, CVPR and KDD) and journals. Experience and knowledge of deploying AI and Data More ❯

as CI/CD, Application Resiliency, and Security. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Enthusiastic to keep learning and growing in technical aptitude and business understanding. Preferred qualifications, capabilities, and skills Software More ❯

s work. Minimum Qualifications: Proven experience in a data science or AI-related role, preferably within a creative or marketing agency. Deep understanding of machine learning, natural language processing, and other AI techniques. Strong data analysis skills, with experience using tools like SQL, Python, R, and data visualisation … based on knowledge and experience Bonus linked to business profitability Cycle to Work scheme Breakfast and healthy snacks in the office Monthly wellbeing allowance Learning & Development: Team and Personal development budget Lunch & Learn sessions Time Off: 26 days' annual leave plus bank holidays Enhanced parental leave How We Work More ❯

Finance, Retail, Travel, Telco, and Healthcare, they turn Enterprise data into competitive advantage. About the role: Build and refine Data Science/AI/ML models that solve genuine commercial challenges Work across predictive analytics, personalization, and decision-making tools Deploy models on major cloud platforms (AWS, Azure, GCP) Collaborate … Currently serving clients in four countries with two live products and two cutting-edge AI solutions in development. This is your chance to apply machine learning at scale while building solutions that shape the future of data-driven decision-making. Target Salary: £45,000 (considering applications in the More ❯

Finance, Retail, Travel, Telco, and Healthcare, they turn Enterprise data into competitive advantage. About the role: Build and refine Data Science/AI/ML models that solve genuine commercial challenges Work across predictive analytics, personalization, and decision-making tools Deploy models on major cloud platforms (AWS, Azure, GCP) Collaborate … Currently serving clients in four countries with two live products and two cutting-edge AI solutions in development. This is your chance to apply machine learning at scale while building solutions that shape the future of data-driven decision-making. Target Salary: £45,000 (considering applications in the More ❯

Software Engineer - AI Framework Hybrid Work Full-Time An innovative semiconductor team is seeking a Software Engineer with deep expertise in AI and machine learning frameworks to help build the next generation of GPU and AI acceleration solutions. This is a unique opportunity to contribute to cutting-edge … architectural decisions. Extend support to additional frameworks (e.g., TensorFlow, ONNX). Produce developer documentation and resources. Requirements: 5+ years of experience in AI/ML software development. Deep understanding of PyTorch internals and other major ML frameworks. Experience optimizing deep learning performance on accelerator hardware. Solid knowledge of deep … learning algorithms and compute patterns. Strong programming skills in C++, CUDA, or OpenCL. Background in performance profiling and optimization. BS/MS in Computer Science, Electrical Engineering, or a related field. Interested? Send your CV to to apply. More ❯

privacy challenges Interest and awareness in emerging technologies Experience of vendor packages. The following are of particular interest: An appreciation of Artificial Intelligence and Machine Learning Academic and prior experience A university degree, 2:1 (or equivalent) or above is usually preferred, however we would be open to More ❯

an island here. We're going to surround you with industry leading talent who are working towards a shared goal of using AI/ML to deliver maximum business value to our clients. We're going to be bringing products & solutions to life - your work will see the light of … day. Responsibilities Help own AI/ML domain as part of a cross functional team. Solve the business problems not just the technical ones - understand our customers, the people & problems they face and design solutions that help them. Design and build data science and machine learning systems that … initiatives such as blogs & technical forums. Requirements Substantial experience with Python and relevant libraries (e.g. Pandas, Numpy, Scikit Learn, PyTorch, Tensorflow). Experience driving ML & data science solutions into production. You can put the numbers into a business perspective - you're a data storyteller. You are comfortable getting hands-on More ❯

and analytical skills Ability to thrive in fast-paced environments Preferred Qualifications Telecoms and technology domain experience Experience with private-cloud solutions, AI/ML, blockchain, IoT Advanced degree (MS/PhD) preferred Expertise in Agile, Prince 2 Agile, and Scrum Experience implementing Generative AI and LLMs Please make contact More ❯

and analytical skills Ability to thrive in fast-paced environments Preferred Qualifications Telecoms and technology domain experience Experience with private-cloud solutions, AI/ML, blockchain, IoT Advanced degree (MS/PhD) preferred Expertise in Agile, Prince 2 Agile, and Scrum Experience implementing Generative AI and LLMs Please make contact More ❯

as React, Next.js, or Vue.js. Implement and maintain backend services and APIs using Node.js, Python (FastAPI, Flask), or similar technologies. Collaborate with AI/ML teams to integrate intelligent features and services into the product stack. Optimize performance, security, and maintainability across frontend and backend components. Lead code reviews, enforce More ❯

as React, Next.js, or Vue.js. Implement and maintain backend services and APIs using Node.js, Python (FastAPI, Flask), or similar technologies. Collaborate with AI/ML teams to integrate intelligent features and services into the product stack. Optimize performance, security, and maintainability across frontend and backend components. Lead code reviews, enforce More ❯

or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or Hadoop for large-scale processing. AI/ML: TensorFlow or Databricks for predictive analytics. Integration Technologies: API Management: Apigee, AWS API Gateway, or MuleSoft. Middleware: Red Hat Fuse or Kafka for asynchronous communication. More ❯