126 to 150 of 2,936 Machine Learning Jobs in London

generative AI solutions that can move from experimentation into production. You’ll work closely with product owners, data engineers, software engineers, and other ML practitioners to design, test, improve, and deploy AI/ML capabilities at scale. This is a hands-on role for someone who enjoys solving technical problems … into reliable systems. Job Responsibilities: Apply machine learning, deep learning, and generative AI techniques to business problems Design, run, and evaluate ML experiments using current tools and frameworks Work with large language models, AI agents, and related methods to enhance ML workflows Write production-quality code ...

Senior Research Engineer - Machine Learning & Generative AI 12-month contract | £81,000-£90,000 | London | Hybrid - 3 days onsite We're hiring an experienced Senior Research Engineer to join a world-leading technology organisation working at the frontier of AI and machine learning research . This … training, reinforcement learning, generative AI or multi-agent systems would be particularly valuable. A research-focused Master's or PhD in AI/ML is advantageous but not essential. Deadline for this role is Monday the 14th of September. #J-18808-Ljbffr ...

evaluate, manage, and route content reliably at global scale. We’re seeking a Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding across Spotify. In this role, you’ll work on systems that generate deep, machine-readable understanding of content across … across large datasets Who You Are You have experience building and deploying machine learning systems in production You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar You have experience working with large datasets and care about data quality and evaluation You are interested ...

love of the outdoors and a desire to protect it for future generations. Role Summary We are looking for a full-time Senior ML, AI Infra Engineer, with deep knowledge and strong enthusiasm towards establishing a state-of-art AI infrastructure for training very large foundation models and accelerating model … machine learning models which will enable the next-generation E2E solution of autonomous drivingWe are looking for a full-time Senior ML, AI Infra Engineer, with deep knowledge and strong enthusiasm towards establishing a state-of-art AI infrastructure for training very large foundation models and accelerating model ...

love of the outdoors and a desire to protect it for future generations. Role Summary We are looking for a full-time Senior ML, AI Infra Engineer, with deep knowledge and strong enthusiasm towards establishing a state-of-art AI infrastructure for training very large foundation models and accelerating model … machine learning models which will enable the next-generation E2E solution of autonomous drivingWe are looking for a full-time Senior ML, AI Infra Engineer, with deep knowledge and strong enthusiasm towards establishing a state-of-art AI infrastructure for training very large foundation models and accelerating model ...

unique opportunity for a Data Scientist to bridge the gap between computational genomics and machine learning at scale. Operating at the genomics-ML interface, you will shape our computational genomics efforts to accelerate target identification and validation across diverse therapeutic areas, leveraging large-scale human genetics resources — genetic … discovery, biobanks, OMICs, single-cell atlases and other internal datasets— to gain actionable insight. By building, refining and deploying cutting‐edge ML‐focused methods you will inform robust functional prioritisation frameworks, mechanistic hypotheses, and strategic decision‐making across the organisation. Day to Day you will: Apply, build, refine and integrate ...

will act as a cross-cutting design authority for AI across all of ICT and more widely across Imperial, shaping how generative AI, machine learning and data-driven capabilities are designed into our products and platforms. Working within Architecture & Technology Operations, you will partner with product and platform … applied in enterprise solutions Understanding of the data architecture, pipelines and MLOps needed to build, deploy and operate AI solutions, and of AI and ML platforms, tooling and services (cloud AI/ML services, LLM frameworks and vector data stores) The ability to design responsible, secure and ethical AI solutions ...

relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product‐focused team. We work in partnership … with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from ...

learning, telecom analytics, network performance analytics, or AIOps analytics.* Strong Python skills for data analysis, modelling, and automation.* Strong knowledge of statistics, ML basics, feature engineering, and model evaluation.* Experience working with network KPIs, alarms, telemetry, inventory, topology, or service assurance data.* Understanding of telecom network domains including … data can support AI agents and RAG systems.* Experience with BigQuery or similar data warehouse/analytics platforms.**Required Technical Skills*** Python.* Statistics and ML basics.* Network KPI modelling.* RAN, Core, IP, SD-WAN, and Transport KPI understanding.* Fault analysis and anomaly detection.* AIOps analytics.* Data aggregation and data pipelines. ...

resilience and efficient resource utilisation. Support advanced Analytics, Data Science and AI develop the pipelines, data structures and engineering components required for analytical and Machine Learning solutions. Work collaboratively with analysts, Data Scientists and stakeholders understand downstream requirements and develop data products that solve genuine analytical and organisational … resilience and efficient resource utilisation Support advanced Analytics, Data Science and AI develop the pipelines, data structures and engineering components required for analytical and Machine Learning solutions. Work collaboratively with analysts, Data Scientists and stakeholders understand downstream requirements and develop data products that solve genuine analytical and organisational ...

specialized science models, and engages with the broader AI biosecurity ecosystem. As a research engineer on the biosecurity initiative, you will combine frontier ML research with software engineering best practices to build tools, models, and evaluation methodologies to mitigate biological risks. You will collaborate closely with research scientists and engineers … varied career pathways for those driven to achieve exceptional results through collective effort. Responsibilities Design and implement novel algorithms and machine-learning (ML) methods to address core biosecurity research questions. Contribute to pioneering research on AI and biosecurity, supporting scientific publications and product development aligned with the Biosecurity ...

fulfil your potential with meaningful careers. ROLE SUMMARY We are seeking an experienced Data Scientist to help develop and deploy enterprise‐scale AI and machine learning solutions that improve operational efficiency, service resilience and customer outcomes. You will work closely with software engineers, SREs, product managers, platform teams … expertise with commercial awareness and the ability to translate complex data into actionable insights and measurable business value. WHAT YOU'LL BE DOING AI & Machine Learning Solutions Design Design, build and deploy machine learning models to solve operational and business challenges. Develop predictive analytics capabilities focused ...

Data Science Platform group within Nishantha's organisation, you will help build and evolve the core data infrastructure that enables Data Scientists, ML Engineers and Analysts across Forecasting, Recommendations, Pricing, Marketing and Customer domains to develop, deploy and operate data-driven products at scale. This is an opportunity to work … quality and operational excellence. Creating reusable libraries, tooling and engineering patterns that enable teams to deliver data products more efficiently. Partnering with Data Scientists, ML Engineers and Product Engineering teams to solve data challenges and enable new machine learning use cases. Contributing to architectural decisions and the evolution ...

Engineering function responsible for designing, building and scaling enterprise-grade AI platforms. This is an exciting opportunity to work on cutting-edge Artificial Intelligence, Machine Learning and Large Language Model (LLM) initiatives, helping to transform innovative AI research into secure, scalable production systems. The role is open … maintain scalable AI data pipelines and processing workflows. Architect cloud-native backend systems and distributed AI services. Collaborate closely with Data Scientists to productionise Machine Learning and NLP models. Develop high-performance RESTful APIs and microservices for AI model serving. Drive system reliability, monitoring, observability and performance optimisation. ...

deliver faster, smarter solutions that empower our organization. As an AI & Data Scientist in the HR Data & Analytics team, you will apply advanced analytics, machine learning, and artificial intelligence techniques to transform workforce data into actionable insights and solutions. You will partner with business leaders, product teams … Your work will help accelerate the delivery of innovative AI solutions within a regulated environment. Job Responsibilities: Design, develop, test, and deploy AI and machine learning solutions that address workforce and business challenges Conduct statistical analyses, experiments, and model evaluations to generate actionable insights and recommendations Contribute ...

next generation of recommendation engines, conversational AI experiences and personalisation models for a large-scale digital platform. This is an opportunity to combine machine learning, recommender systems and Generative AI to solve real-world customer problems while delivering measurable commercial impact. The Opportunity You’ll design, build … deploy production-grade machine learning models that power highly personalised customer experiences. From recommendation algorithms and retrieval systems through to LLM-powered conversational AI, you’ll be working on products used by millions of customers every day. This is a highly collaborative role where you’ll partner with ...

that helps millions of listeners discover what they love. Within this space, our research team focuses on advancing the state of the art in machine learning and AI to shape the future of personalization. We explore new approaches, challenge existing assumptions, and contribute to the broader research community … while influencing long-term product direction. What You'll Do Conduct original research in machine learning and AI, with a focus on large-scale foundation models, generative AI, and post-training methods, including reinforcement learning. Develop novel methodologies, models, and evaluation frameworks to advance personalization systems. Design ...

looking for a Machine Learning Engineer whoenjoys seeing their work used as part of ’real-life’ solutions. Not only will your work directly contribute to our client deliverables, but you will have the opportunity to see the process through from solution design to deployment, working in close collaboration … data science solutions. KEY RESPONSIBILITIES: Participate in the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights using Python + Jupyter ...

Scientist to join our Group Data Science team. This is a senior individual contributor role for a highly capable practitioner who has successfully delivered machine learning and AI products from concept through to production within large, complex organisations. The successful candidate will combine deep technical expertise with strong … cloud technologies, helping bring innovative approaches into the organisation Your Skills Proven track record of building and deploying production‐grade AI/ML applications that generate measurable business value Experience working with Data Engineering, MLOps and Product teams to bringing Machine Learning systems from research ...

Data Scientist** to join our Group Data Science team.This is a senior individual contributor role for a highly capable practitioner who has successfully delivered machine learning and AI products from concept through to production within large, complex organisations. The successful candidate will combine deep technical expertise with strong … cloud technologies, helping bring innovative approaches into the organisation.**Your Skills*** Proven track record of building and deploying production-grade AI/ML applications that generate measurable business value* Experience working with Data Engineering, MLOps and Product teams to bringing Machine Learning systems from research ...

processes related to KYC (Know Your Customer) checks performed on consumers and businesses during onboarding. Within the team, our data scientists implement machine learning models and systems that support Document verification. We are looking for someone to own the team's data science roadmap, lead and develop … data scientists, and take responsibility for the impact and quality of our machine learning systems. You'll provide technical direction across the model lifecycle, from training and testing to production performance and further improvements to our KYC systems. Here's how you'll be contributing: Own the data ...

data transformation programme. Following significant investment and recent organisational change, there is a genuine appetite to modernise technology, improve data capabilities and scale machine learning across the business. The organisation currently has multiple machine learning models operating in production, but recognises that it’s MLOps capability … role has been created to provide the seniority, technical leadership and real-world experience required to establish best practice, improve operational maturity and ensure machine learning can be delivered reliably at enterprise scale. Key Responsibilities Lead the maturation of the MLOps function and build the capability Establish robust ...

apply your skills and passion for technology at Thomson Reuters Labs. We are seeking a Research Engineer who will bring expertise in AI and ML and is interested in building data-driven capabilities that transform the way legal, accounting, and government professionals work across the globe. As a member … modern software development practices, you will be involved in the entire software development lifecycle, designing, building, testing and delivering high-quality solutions. Build Scalable ML Solutions:You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You willdevelophigh performing scalablesystems ...

commercial performance and competitive advantage. They are now seeking a Head of Data Science to define and lead the next phase of their ML capability. This is a strategic leadership role focused on building a scalable, high‐impact data science function that consistently delivers measurable business outcomes. This … performance metrics, and positioning machine learning as a long‐term strategic differentiator for the organisation. Skills & Experience Experience operating at scale where ML directly influences commercial performance A track record of building and leading high‐performing data science teams Strong stakeholder management skills, with the ability to influence ...

real value You’re comfortable navigating ambiguity and solving complex problems collaboratively You bring strong expertise in your craft, alongside a willingness to keep learning You communicate clearly and build trust quickly with clients and teammates You’re pragmatic, adaptable and outcome-focused You value low-ego collaboration … working as part of multidisciplinary teams What you’ll bring to the table: You have hands-on experience deploying and operating artificial intelligence and machine learning architectures in production ecosystems You are proficient in constructing high-volume batch processing systems, real-time microservices, automated continuous retraining, and system ...