1,101 to 1,125 of 1,948 Machine Learning Jobs in London

reliability, and compliance. Lead the transition from outsourced development to a hybrid in-house model. Ensure GDPR and security compliance across all systems. Drive innovation using the latest in machine learning and natural language processing. Define and execute a … long-term technology roadmap aligned with business goals. Identify and address technical risks and debt. Manage ongoing support and maintenance of the platform. What You’ll Bring AI/ML Expertise : Deep knowledge of LLMs, NLP, and recommendation systems. Technical Leadership : Proven experience in scaling AI products, DevOps, and cloud architecture. Backend & Data Proficiency : Skilled in Python, Node.js, PostgreSQL, MongoDB More ❯

reliability, and compliance. Lead the transition from outsourced development to a hybrid in-house model. Ensure GDPR and security compliance across all systems. Drive innovation using the latest in machine learning and natural language processing. Define and execute a … long-term technology roadmap aligned with business goals. Identify and address technical risks and debt. Manage ongoing support and maintenance of the platform. What You'll Bring AI/ML Expertise : Deep knowledge of LLMs, NLP, and recommendation systems. Technical Leadership : Proven experience in scaling AI products, DevOps, and cloud architecture. Backend & Data Proficiency : Skilled in Python, Node.js, PostgreSQL, MongoDB More ❯

platforms, and global partners. Developing GPU-powered algorithms for high-performance modelling at scale. Exploring applications of Large Language Models (LLMs) in media and measurement contexts. Designing and implementing machine learning solutions that enhance our product capabilities and operational intelligence. As part of a collaborative and technically strong team, you’ll work closely with engineers, product managers, and … world impact—this is a great fit for someone who wants to build, experiment, and push boundaries in applied data science. Key Responsibilities Design, prototype, and optimise statistical and ML models for integration into production workflows. Explore and apply LLMs and emerging AI techniques to enhance media and audience measurement use cases. Collaborate with cross-functional teams to ensure model … in model development. Take ownership of project areas while working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or More ❯

platforms, and global partners. Developing GPU-powered algorithms for high-performance modelling at scale. Exploring applications of Large Language Models (LLMs) in media and measurement contexts. Designing and implementing machine learning solutions that enhance our product capabilities and operational intelligence. As part of a collaborative and technically strong team, you’ll work closely with engineers, product managers, and … world impact—this is a great fit for someone who wants to build, experiment, and push boundaries in applied data science. Key Responsibilities Design, prototype, and optimise statistical and ML models for integration into production workflows. Explore and apply LLMs and emerging AI techniques to enhance media and audience measurement use cases. Collaborate with cross-functional teams to ensure model … in model development. Take ownership of project areas while working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or More ❯

Join our team as an MLOps Engineer who acts as the critical bridge between Data Scientists and DevOps Engineers. Translate experimental ML models into scalable, production-ready applications using cutting-edge AWS services. The Role Core Responsibilities: Technical Liaison - Bridge Data Science and DevOps teams, ensuring effective AI/ML solution deployment Hands-On Support - Assist data scientists with DevOps … issues, Docker containers, and MLOps tooling Model Deployment - Deploy Hugging Face Transformers and ML models as secure microservices AWS ML Platform - Build and evaluate models using SageMaker, Bedrock, Glue, Athena, and Redshift Knowledge Transfer - Create documentation and mentor teams on MLOps best practices Full ML Lifecycle - Manage training, validation, versioning, deployment, monitoring, and governance API Development - Develop secure APIs using … Apigee for enterprise AI functionality access Automation - Build CI/CD pipelines using Jenkins and Maven for ML project integration Essential Requirements Minimum Qualifications: Degree in Computer Science, Data Science, Mathematics, Physics, or equivalent experience Python/R proficiency with practical ML and statistical modeling experience End-to-end ML delivery - From experimentation to production deployment Data science fundamentals - Data More ❯

workflows. The ideal candidate will have substantial hands-on experience optimizing inference workloads using technologies such as TensorRT, Triton language, and model quantization techniques. You will collaborate closely with ML researchers to ensure that our machine learning models run at peak efficiency and reliability in production environments. Key Responsibilities Optimize neural network models for inference performance and latency … reduction Benchmark, analyze, and improve inference performance on targeted hardware platforms. Collaborate with the ML researchers to deploy optimized models in production environments. Stay updated with the latest developments in model optimization, inference engines, quantization methods, and related technologies. Requirements Proven professional experience optimizing neural network inference workloads. Strong expertise with TensorRT, Triton language, CUDA programming. Experience with neural network More ❯

tools such as Excel, R and SQL. Hands-on involvement in delivering complex, multi-disciplinary modelling projects, including the development of neural network models. Practical application of AI/ML techniques in industrial process optimisation and predictive analytics Demonstrated ability to take on divers roles across the lifecycle of complex modelling initiatives including: Product ownership – defining vision, roadmap and stakeholder … Requirements analysis and specification – gathering business needs and translating them into technical requirements, Solution design – architecting robust analytical frameworks and methodologies, Model generation – coding, testing and validating statistical or machine learning models, User acceptance testing – managing end-user testing and feedback integration, and On-going support and maintenance – ensuring reliability, scalability and continuous improvement of models in production. More ❯

tools such as Excel, R and SQL. Hands-on involvement in delivering complex, multi-disciplinary modelling projects, including the development of neural network models. Practical application of AI/ML techniques in industrial process optimisation and predictive analytics Demonstrated ability to take on divers roles across the lifecycle of complex modelling initiatives including: Product ownership – defining vision, roadmap and stakeholder … Requirements analysis and specification – gathering business needs and translating them into technical requirements, Solution design – architecting robust analytical frameworks and methodologies, Model generation – coding, testing and validating statistical or machine learning models, User acceptance testing – managing end-user testing and feedback integration, and On-going support and maintenance – ensuring reliability, scalability and continuous improvement of models in production. 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 ❯

workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - 12+ years of GTM, Sales, or Consulting experience - 8+ years of technology domain experience in LLM, Machine Learning, AI, and GenAI - Bachelor's Degree, strong data-based storytelling skills - Cloud expertise demonstrated by relevant certifications - Experience working with startup executives and closing strategic deals PREFERRED … development - Bachelor's in Engineering or Computer Science and advanced degree (MBA or MS in CS/Engineering) - 2+ years direct experience in Generative AI space, understanding of HPC ML (training/inference of generative AI models) - Startup background or experience at VC/PE-backed firms Amazon is an equal opportunities employer. We believe passionately that employing a diverse More ❯

ETL processes. Ability to articulate system architecture and identify gaps between current and target states. Experience leading global development teams across multiple time zones. Ability to foster a collaborative learning environment that encourages continuous improvement and knowledge sharing. Nice to Have: Familiarity with technologies such as Elasticsearch, Solr, PostgreSQL, Databricks, Delta Share, and Delta Lake. Experience working with complex … 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 the employee discounts scheme via Perks at Work About LexisNexis Intellectual Property (LNIP) : At LexisNexis Intellectual Property (LNIP), we believe that whenever a person … We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at More ❯

5+ years in financial services technology as a Project Manager, Business Analyst, Software Developer, or Technical Consultant. Strong knowledge of digital banking and financial services. Working knowledge of AI, machine learning, and predictive analytics. Conversational understanding of architecture, analytics, Linux, Java, and SQL. Experience in managing RFIs, RFPs, and proof of concepts. Ability to tailor demos and workshops … executives, product managers, and leadership. Experience contributing to or leading strategic deals, including stakeholder engagement. Familiarity with MEDDICC or similar sales qualification frameworks. Committed to sharing best practices and learning from global presales peers. Act as the "voice of the customer" by relaying valuable feedback to product teams. Proven experience in leading successful projects. Strong understanding of Pre-Sales More ❯

lending. THE ROLE As the Head of Data & AI, you will lead and scale a talented team responsible for shaping the company's data strategy, governance, and AI/ML initiatives. You'll oversee the development and deployment of cutting-edge machine learning models and ensure data integrity across the organisation. Specifically, you will: Drive the implementation of … AI/ML solutions using Python and AWS Redshift Develop and enforce a robust data governance framework to secure and optimise data usage Collaborate with stakeholders to align data strategy with business goals and compliance requirements SKILLS AND EXPERIENCE The successful Head of Data & AI will have the following skills and experience: 10+ years in data leadership, ideally managing teams … of 5-20 professionals in regulated industries Proven experience scaling data functions from early stages to maturity Strong understanding of AI/ML technologies and data governance best practices Experience with AWS (Redshift) and Python Strategic mindset with the ability to engage senior stakeholders and lead cross-functional initiatives BENEFITS The successful Head of Data & AI will receive the following More ❯

You're familiar with some of the other technologies in our stack (see below) You have a user-focused product mindset and good design sensibilities You are interested in learning about generative AI technologies You are interested in building innovative user interfaces requiring creativity, problem-solving and research An exceptional candidate for this role would be able to demonstrate … Experience using LLMs in production, especially multi-agentic systems Interest in writing (fiction, non-fiction, essays) However, you are NOT expected to: Be an expert in AI, NLP, or Machine Learning Be a designer - you'll be working together with our CPO and designer Ryan Bowman Be experienced with every library and product in our stack from day More ❯

an Owner, Delight Our Customers and Earn the Respect of Others. The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. An engaging, people-first work environment … technology today - Big Data analytics. You'll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more. FICO makes a real difference in the way businesses operate worldwide: • Credit Scoring - FICO Scores are used by 90 of the top More ❯

and internal engagements for Experian's new global product launch and early client success efforts. Responsibilities: Collaborate with Engineering and Data Science teams in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications in a cloud-native big data platform. Partner with Leaders, Analytic Consultants, Engineers, Account Executives, Product Managers, and external partners … advancements, and model risk management processes and controls to ensure the technology stack meets all compliance requirements. Research and integrate new data assets from different sources into Experian's ML and AI platform. Develop and assess analytic tools developed internally and externally. Gather feedback from internal and external clients to guide new product development, feature prioritisation, and product evolution of More ❯

be enthusiastic and willing to learn new things. It is also considered a bonus if you have: Understanding of service-oriented architectures and building cloud-based products. Experience with Machine Learning, Computer Vision, AI technologies. We are looking for a team player who thinks holistically, enjoys solving complex problems and thrives working autonomously, while not afraid to ask … holidays. Attractive defined contribution pension scheme. Employee stock purchase plan. Flexible working options. Private medical care. Life assurance. Enhanced maternity and paternity pay. Career development support and wide ranging learning opportunities. Employee health and wellbeing support EAP, wellbeing guidance etc. Carbon neutral initiatives/goals. Corporate social responsibility initiatives including support for volunteering days. Well known companies discount scheme. More ❯

of performance testing tools (e.g., JMeter, LoadRunner) and security testing best practices. Familiarity with Microsoft Azure services, Docker, and Kubernetes in a testing context. Experience in testing AI/ML solutions and services such as Azure Machine Learning, Azure Open AI, and Azure Search Index. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment More ❯

of performance testing tools (e.g., JMeter, LoadRunner) and security testing best practices. Familiarity with Microsoft Azure services, Docker, and Kubernetes in a testing context. Experience in testing AI/ML solutions and services such as Azure Machine Learning, Azure Open AI, and Azure Search Index. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment More ❯

the following skills: Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Advanced understanding of matrixed organisations and comfortable in managing cross functional teams Strong understanding of … and partners to enable delivery of the outstanding services we are known for. Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. Accenture is … their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces. Join Accenture to work at the heart of change. Visit More ❯

which are at the forefront of this latest technology wave. To preserve our customers' experience and trust, the Alexa Privacy team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and … optimizing customer experience. They will set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, they will work closely with talented engineers and ML scientists to put algorithms and models into practice. This Applied Scientist's work will also directly impact the trust customers place in Alexa, globally. They will contribute directly to our … and includes text, speech, audio, and video. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of More ❯

will be responsible for application performance and work with DevOps and Infrastructure leads to maintain reliability You will lead a team of Ad Tech focused Software Engineers, Data Engineers, ML Engineers and Analysts. You will be part of a team of Engineering Managers to encourage information sharing, collaboration and drive continuous improvement. You will lead a culture of innovation, continually … team's performance A mature technology leader, with understanding of all layers of a technology stack Familiarity with front end frameworks and tools (e.g. React, Node) Have experience with Machine Learning/Data Science Have previous experience with git, CI and CD tools (e.g. GitLab, TeamCity) Have knowledge of docker, kubernetes, and AWS services Passionate about writing good More ❯

an automation project. Our client are seeking experienced software engineers to lead the development of document automation services. You'll work on productionising solutions using OCR, NLP (SpaCy), and ML to automate the processing of documents. Key Responsibilities Develop and maintain automation services using AWS serverless stack (Lambda, CDK, S3, Aurora/Postgres) Implement OCR, NLP, and ML for document More ❯

an automation project. Our client are seeking experienced software engineers to lead the development of document automation services. You'll work on productionising solutions using OCR, NLP (SpaCy), and ML to automate the processing of documents. Key Responsibilities Develop and maintain automation services using AWS serverless stack (Lambda, CDK, S3, Aurora/Postgres) Implement OCR, NLP, and ML for document More ❯