1,176 to 1,200 of 2,180 Machine Learning Jobs in London

different teams on our value prop. This role reports into the GVP of Product and Solutions, with a tight relationship with the AI/ML Director and supporting Senior Product Managers as well as the different Engineering resources, and will work cross functionally with the different field facing teams from More ❯

deployment and continuous evaluation. Our AI initiatives span categorization, summarization, data analysis, automated content generation, and rich media analysis -leveraging both existing AI/ML tools (LLMs, RAG, embeddings, agentic workflows) and custom solutions. You'll collaborate across teams to build practical, scalable AI solutions - where precision matters. With a More ❯

in person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team More ❯

and scalable knowledge services. It's challenging due to the vast scale, heterogeneous data sources, and evolving domains, but exciting for pushing boundaries in ML, NLP, and knowledge representation research. If you're passionate about driving innovation at scale, we want to hear from you! Key job responsibilities - Lead the … to identify opportunities for innovation and drive the roadmap for Product Knowledge - Mentor and upskill junior scientists and engineers, fostering a culture of continuous learning and knowledge sharing - Communicate complex technical concepts and research findings effectively to diverse audiences, including leadership, cross-functional teams, and the wider scientific community … selling partner experiences through high-quality, contextual product knowledge at scale. BASIC QUALIFICATIONS - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing More ❯

s and RAG, and more importantly know how to measure and evaluate LLM's. What it offers: The opportunity to have build and deploy ML Models utilising LLM's. Join a Start up at the most exciting time of growth, and the chance to focus on the product outcomes. Requirements … 5+ years experience in an ML focussed Engineering position. Solid programming skills and Cloud experience (Ideally Google Cloud or Azure) A keen interested in utilising LLM's. Ideally, professional experience with Knowledge Graphs More ❯

s and RAG, and more importantly know how to measure and evaluate LLM's. What it offers: The opportunity to have build and deploy ML Models utilising LLM's. Join a Start up at the most exciting time of growth, and the chance to focus on the product outcomes. Requirements … 5+ years experience in an ML focussed Engineering position. Solid programming skills and Cloud experience (Ideally Google Cloud or Azure) A keen interested in utilising LLM's. Ideally, professional experience with Knowledge Graphs More ❯

inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role As the Tech Lead, ML Edge Deployment you'll lead the strategic direction for Wayve's GPU kernel development. This role occupies a critical junction between machine learning … you will deliver critical roadmap milestones in enabling efficient inference on multiple target GPUs and accelerators. You will work closely with members of the ML and Software teams to optimise models for deployment on edge. You will have opportunities to develop new skills, especially in model optimisation. About you In … order to set you up for success as a Tech Lead in ML Edge Deployment at Wayve, we're looking for the following skills and experience: Proven experience as a technical lead or senior engineer on complex engineering projects. Proficiency in C++ and ML frameworks such as PyTorch. Excellent interpersonal More ❯

ll have a voice and your work will be valued. Growth & Development: We're invested in your success. This role offers incredible opportunities for learning and advancement within a supportive and inclusive environment. We provide mentorship and training to help you reach your full potential. Collaborative Culture: We believe … services inside the company and left to start a new company to address this need - LILT. At its core, LILT has always been a machine learning company since its incorporation on March 6, 2015. At the time, machine translation didn't meet the quality standard for enterprise More ❯

ll have a voice and your work will be valued Growth & Development: We're invested in your success. This role offers incredible opportunities for learning and advancement within a supportive and inclusive environment. We provide mentorship and training to help you reach your full potential. Collaborative Culture: We believe … services inside the company and left to start a new company to address this need - LILT. At its core, LILT has always been a machine learning company since its incorporation on March 6, 2015. At the time, machine translation didn't meet the quality standard for enterprise More ❯

areas including the cloud. Inclusive Team Culture In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate … or network security Experience using common cloud services (IAM, Lambda, EC2, VPC, S3) for security response and/or automation Experience with data science, machine learning, big data analytics, and/or streaming technologies (e.g., Kafka, Spark Streaming, Kinesis) Posted: December 10, 2024 (Updated about 1 hour ago More ❯

services inside the company and left to start a new company to address this need - LILT. At its core, LILT has always been a machine learning company since its incorporation on March 6, 2015. At the time, machine translation didn't meet the quality standard for enterprise More ❯

services inside the company and left to start a new company to address this need - LILT. At its core, LILT has always been a machine learning company since its incorporation on March 6, 2015. At the time, machine translation didn't meet the quality standard for enterprise More ❯

process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in … every time. That's where you can help. We believe in "Work Hard. Have Fun. Make History" value by having a focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a … We provide trainings to the employees through online learning platforms such as O'reilly and also encourage them to take up AWS/ML certifications. Key job responsibilities We are looking for a sharp, experienced Business Analyst(BA) with a diverse skillset and background. As a BA, you will More ❯

a global marketing and customer experience company. You’ll work across a variety of data science challenges — from prototyping ideas to deploying full-scale ML solutions — in a fast-paced, collaborative environment. This role is ideal for someone with strong technical foundations and a generalist mindset, looking to grow quickly … and make a tangible impact across major client projects. THE ROLE As a Data Scientist, you will: Build and deploy machine learning solutions end-to-end, from SQL-based feature engineering to model development in Python and cloud deployment (AWS) Prototype and test new ideas that solve real … everything you do YOUR SKILLS AND EXPERIENCE Must-Have: Degree in a STEM field or equivalent hands-on experience 1–4 years’ experience delivering ML solutions in production, ideally in fast-moving teams or startups Strong Python and SQL skills; experience building and deploying models end-to-end Familiarity with More ❯

a global marketing and customer experience company. You’ll work across a variety of data science challenges — from prototyping ideas to deploying full-scale ML solutions — in a fast-paced, collaborative environment. This role is ideal for someone with strong technical foundations and a generalist mindset, looking to grow quickly … and make a tangible impact across major client projects. THE ROLE As a Data Scientist, you will: Build and deploy machine learning solutions end-to-end, from SQL-based feature engineering to model development in Python and cloud deployment (AWS) Prototype and test new ideas that solve real … everything you do YOUR SKILLS AND EXPERIENCE Must-Have: Degree in a STEM field or equivalent hands-on experience 1–4 years’ experience delivering ML solutions in production, ideally in fast-moving teams or startups Strong Python and SQL skills; experience building and deploying models end-to-end Familiarity with More ❯

include JPMorgan, Google, Shell and national energy ministries. The company’s engineering team is now ready for its next chapter: expanding data architecture, scaling ML capabilities, and powering the next generation of product innovation. They need a capable, experienced leader to define the vision & strategy around this going forward. Job … innovation. Skills and Qualifications 8+ years of engineering experience, including leadership roles in fast-paced environments. Expertise in system architecture, cloud technologies, AI/ML integration, and scalable software platforms. Strong hands-on technical skills with a focus on building robust, high-performance solutions. Proven ability to mentor engineers and … familiar with fast-paced, evolving environments, balancing speed and scalability. Have experience with large data processing systems and architecture Have experience applying AI/ML technologies to real-world challenges and are eager to advance this in the energy space. Have led small teams, helping engineers grow technically and professionally. More ❯

include JPMorgan, Google, Shell and national energy ministries. The company’s engineering team is now ready for its next chapter: expanding data architecture, scaling ML capabilities, and powering the next generation of product innovation. They need a capable, experienced leader to define the vision & strategy around this going forward. Job … innovation. Skills and Qualifications 8+ years of engineering experience, including leadership roles in fast-paced environments. Expertise in system architecture, cloud technologies, AI/ML integration, and scalable software platforms. Strong hands-on technical skills with a focus on building robust, high-performance solutions. Proven ability to mentor engineers and … familiar with fast-paced, evolving environments, balancing speed and scalability. Have experience with large data processing systems and architecture Have experience applying AI/ML technologies to real-world challenges and are eager to advance this in the energy space. Have led small teams, helping engineers grow technically and professionally. More ❯

DESCRIPTION The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As an Applied Scientist with the … in order to provide the best-possible experience for our customers. BASIC QUALIFICATIONS PhD, or a Master's degree and experience in CS, CE, ML or related field Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language … any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in building machine learning models for business application PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in professional software development Amazon is an equal opportunities employer. More ❯

Development Centre (London) Limited The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As an Applied … in order to provide the best-possible experience for our customers. BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language … any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models for business application PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunities employer. More ❯

and clients, within C4. Data is the most valuable asset in C4. The Data Platform Department is dedicated to developing advanced technology (e.g. Cloud, Machine Learning and Big Data), systems and services to make data secure, high quality, rich, fast, and easy to use, enabling C4 to leverage … supervisory experience. Experienced in Agile Project/Portfolio Management tools e.g. Azure DevOps, Jira, etc. Experienced using facilitation techniques, Design Thinking techniques, coaching, and learning frameworks. Experienced in engineering practices like Continuous Integration and Continuous Delivery. Experienced in multi-vendor delivery teams. Hybrid Working From September 2023 employees will … per week in their office location. The other 2 days should be working from home. This is to create more time for collaboration, creativity, learning, and feedback. We also have a working from another location policy for up to 10 days. This pattern is subject to future changes which More ❯

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 More ❯

Proven expertise in designing, refining, and optimizing prompts for advanced Generative AI models. Strong programming proficiency (e.g., Python) coupled with hands-on experience in machine learning frameworks and libraries. Deep understanding of model fine-tuning, evaluation metrics, and model deployment strategies in production environments. Demonstrated ability to mentor … stakeholders. A track record of handling complex, large-scale data and AI projects while adhering to regulatory and security requirements. A commitment to continuous learning, keeping pace with cutting-edge AI research, techniques, and tooling, while knowledge sharing with the team. The perks: It really is more than a … additional days off a year for voluntary work (28 in total) The option to buy or sell holiday days. Unlimited access to the LinkedIn Learning Platform A comprehensive global and local onboarding process Employee-led LGBTQ+, Women's, Black and Parents & Carers networks with an annual budget for organising 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 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 More ❯

a company that is impacting businesses at a rapid pace across the globe. What will you be doing? As our Team Lead for the ML Performance team, you will define the technical vision and roadmap for large-scale model training, inference and optimisation. By partnering with researchers and research teams … Leading experiments to validate novel approaches and ensure models remain at the forefront of performance and reliability. Managing, mentoring, and growing a team of ML optimisation engineers and specialists. Providing technical guidance, setting goals, reviewing code, and leading by example in writing clean, efficient, maintainable code. Who are you? You … doing research, trying new things and pushing the boundaries, going beyond what's already known. You have experience in using most modern frameworks for machine learning and deep learning. You have great coding skills in Python, preferably C++ and Cuda. And you care about writing clean, efficient code. More ❯