126 to 150 of 1,685 Machine Learning Jobs in London

Research Engineer: Graph Machine Learning Atman Labs, London About Atman Labs At Atman Labs we are building software to emulate proactive human expertise. Emulating human experts with deep knowledge and proactive assistance has largely been impossible to do via standalone Artificial Intelligence techniques. As an applied research and … shopping assistance, to personal teachers to healthcare concierges - and with this commercial focus advance our unique research that lies at the intersection of Reinforcement Learning rewards, Large Scale Knowledge Representation, and Predictive Models inspired by biological priors. The Next Frontier of Machine Reasoning: Web-scale Knowledge Graph Exploration … learning, with a focus on learning graph embeddings and link prediction problems. You have experience in training and tuning various graph ML algorithms including GNNs, Message Passing and Graph Transformers. Experience in building graph-based recommendation systems is a plus. You have 5+ years of programming experience More ❯

experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning & reasoning (e.g. LLMs & Knowledge Graphs, Advanced Prompting, CoT pipelines, RAG, Tool use, etc.) Data-centric Machine Learning … a Research Scientist Manager, you will play a key part in leading a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish … mentor, lead and help direct reports grow and contribute to the wider group. Innovate : You will innovate and create new state-of-the-art ML/NLP/IR/GenAI approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges More ❯

Machine Learning Engineer London The Data + Science Team At Deliveroo we have a world-class data & science organisation, with a mission to enable the highest quality human and machine decision-making. We have over 200 Machine Learning Engineers, Data Scientists, Data Analysts, and Analytics … our marketplace (consumer, delivery, restaurants, grocery, and retail). Our interview process is team-agnostic. As an MLE, you will develop the algorithmic and machine-learning systems that power Deliveroo. You will work in a cross-functional team alongside engineers, data scientists and product managers to develop systems … on Deliveroo, for example by recommending that they improve their menus or photography, or add a popular dish. Requirements 3+ years' experience as a ML Engineer or Data Scientist 3+ years' experience in Python Experience productionising ML models Experience using tools like Git, Docker, Kubernetes, CircleCI You know the fundamentals More ❯

The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines … the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly. The impact you will have: Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with … on various data science such as architecture, tooling, and best practices Present at conferences such as Data+AI Summit Provide technical mentorship to the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap What we look for More ❯

for internal Prime Video builders and for this, you will need to develop personalized recommendations for their services. You will lead the design of machine learning models that scale to very large quantities of data across multiple dimensions. You will embody scientific rigor, designing and executing experiments to … offers exceptional opportunities for every candidate to grow their technical and non-technical skills and make a global impact immediately. Key job responsibilities Develop machine learning algorithms for high-scale recommendations problems. Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of … insights to both technical and non-technical audiences, including through presentations and written reports. BASIC QUALIFICATIONS Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with neural deep More ❯

Lead ML Engineer London - Hybrid (1 day per week in office) £80,000 - £100,000 DOE + Bonus (up to 15%) + Excellent Pension + Car Scheme + Technology Benefits + EAP Programme + Flexible working This is an incredible opportunity for a Lead ML Engineer to join a fast … The ideal candidate will have proven experience in a similar role in some combination of Software, Data or DevOps and strong experience working with ML models. You will be an expert with Python and associated libraries (Pandas, scikit-learn etc.), have strong Azure DevOps exposure (Terraform, Docker, Kubernetes) and high … libraries such as Pandas and scikit-learn, and strong SQL skills. Deep understanding of software engineering best practices. Experience with tools like Azure, Azure ML, GitHub Actions, Terraform, Packer, Airflow, Docker, and Kubernetes. Expertise in Linux/Windows VM administration. Reference Number: BBBH248582 To apply for this role or to More ❯

in the market by our customers. We have big plans ahead and are looking for a Machine Learning Engineer to join our ML team. The Role We are looking for an experienced Machine Learning Engineer to help us conduct research on the state of the art … of computer vision and solve multifaceted algorithmic problems. You will: Experiment with and adapt latest ML technologies to fit into existing tech stack Solve idiosyncratic statistical, geometric, and engineering problems Work closely with a full stack tech team to assist implementation of research solutions into the product Contribute to hiring … will have a proven track record of relevant publications and previous experience managing applied research teams. Requirements for the role include: Passion for solving ML problems Strong experience in Python and machine learning libraries such as OpenCV, PyTorch, TensorFlow, Fast.ai , and Keras Strong experience in mathematical programming, algorithmic More ❯

Principal Machine Learning Engineer Paying between £100,000-£140,000 Hybrid in Central London La Fosse is partnered with a leading insurance company who are looking for an experienced Principal Machine Learning Engineer to drive their AI innovation at scale. They are looking for someone to lead a dynamic team in designing and deploying AI, ML, NLP, and Generative AI solutions that will shape business models and deliver tangible impact on profitability, sales, customer experience, and operational efficiency. What You'll … business impact. Deep expertise in Generative AI, Large Language Models, NLP, and deep learning. Strong problem-solving skills, adaptability, and excellent communication. Experience leading ML Engineers and Data Scientists in building AI models. Familiarity with the Property & Casualty (P&C) insurance industry is a plus. Relevant experience in the insurance More ❯

Sr. Delivery Consultant - AI/ML and Generative AI, Professional Services GCC Job ID: AWS ProServe IN - Maharashtra The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with … be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth … , Deep learning and Generative AI solutions, from conception to deployment - Experience in advising, defining and applying best practices, evaluating alternative and complementary ML and foundational models suitable for given business contexts - Experience in data modeling, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large More ❯

Senior Consultant - AI/ML and Generative AI, Professional Services GCC The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS … and implementation Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience Proven track record in defining and developing end-to-end Machine Learning, Deep learning and Generative AI solutions, from conception to deployment Experience in advising, defining and applying best practices, evaluating alternative and complementary ML and foundational models suitable for given business contexts Experience in data modeling, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large More ❯

events globally, developing new experiences and insights that power the future of sports. In this role, you will: Deliver at scale: Build and deploy ML models across cloud and edge platforms, scaling to thousands of simultaneous matches. Lead impactful projects: Own and drive initiatives that directly enhance the experience for … Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. Product-minded approach: Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams. Scalable systems expertise: Solid track record building and managing AI/ML systems in production environments at … scale. Nice to Have: Sports tech experience: Background applying AI/ML in the sports domain for data generation or insights. Systems optimisation: Knowledge of GPU kernel development (CUDA, OpenCL, etc.), real-time system optimisation (e.g., Nvidia NSight), or experience working with embedded SoCs (Nvidia, Qualcomm, etc.). If you More ❯

The Amazon India ML team is developing state-of-the-art, large-scale Machine Learning methods and applications involving terabytes of data. The group focuses on Deep Learning problems in a) Sponsored Products - the group will be responsible for growing Ads business through semantic matching of customer … products, automated bidding for sellers and matching Ads to customer videos on MiniTV b) Personalisation - the group will be developing state-of-the-art ML models for targeting and automating marketing campaigns to customers with the goal of growing the category business in India. Key job responsibilities You will be … of ambiguity that's higher than most projects and love the idea of solving problems that have never been solved before. You will provide ML thought leadership to technical and business leaders, and have a demonstrated ability to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS - 3+ years More ❯

looking for a Senior AWS Machine Learning Data Engineer to a cutting-edge team on a contract basis, working on high-impact ML solutions that scale. About the Role: In this role, you'll lead the design and implementation of data pipelines and ML infrastructure on AWS. You … ll collaborate with data scientists, architects, and product teams to deliver production-grade ML systems across a variety of domains — from predictive analytics to real-time personalization. ? What You'll Do: Architect and build scalable, secure, and maintainable data pipelines on AWS (Glue, Lambda, Step Functions, S3, Redshift, etc.) Operationalize … for structured and unstructured data Integrate CI/CD and MLOps best practices for rapid model iteration and deployment Collaborate across teams to align ML engineering efforts with business needs ? What We're Looking For: 5+ years of data engineering experience, with 2+ years in a senior role Deep expertise More ❯

you'll analyze massive data sets and distill complex information into concise and valuable offerings for investors. Your responsibilities will involve the development of machine learning applications, exploring language models, and other data products. Additionally, you will create original investment research content that drives better outcomes for our … clients. If you possess exceptional interpersonal, communication, and machine learning skills, coupled with a strong quantitative mindset, this is the ideal role for you. Join us in our London office and be part of revolutionizing investment research in the financial industry. Job Responsibilities: Conduct cutting-edge research to … driving the adoption and implementation of AI solutions across Morningstar's business units. Requirements: Minimum 3 years of hands-on experience implementing AI/machine learning solutions, including RAG , NLP , AI Agents , and transformer models, in commercial applications. Advanced degree (Master's/PhD preferred) in a quantitative More ❯

working arrangements available. Please discuss options with your recruiter. Grade: GG10-GG11 Referral Bonus: £5,000 Are you passionate about cutting-edge AI/ML technology? Are you motivated to find innovative solutions to complex challenges as part of a team dedicated to national security? Join BAE Systems as an … experienced Machine Learning (ML) Engineer. As part of our AI team, you will work with National Security Customers to understand their challenges and identify where AI/ML solutions can add value. You will lead prototype development and be responsible for designing, implementing, and deploying AI solutions. This … role requires a strong foundation in software engineering, statistics, and AI/ML concepts, with an awareness of the latest advancements in AI and ML technologies. You will be part of a multidisciplinary AI team focused on developing AI propositions that benefit our customers. Collaborating with data scientists, AI strategists More ❯

The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines … the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly. The impact you will have: Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with … various data science topics such as architecture, tooling, and best practices. Present at conferences such as Data+AI Summit. Provide technical mentorship to the larger ML SME community in Databricks. Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap. What we look for More ❯

technology wave. To preserve our customers' experience and trust, the Alexa Sensitive Content Intelligence (ASCI) 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 … solutions in a fast-paced environment. You should have a good understanding of Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing where to apply them in different business cases. You leverage your exceptional technical expertise, a … set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, you will work closely with talented engineers and ML scientists to put your algorithms and models into practice. Your work will directly impact the trust customers place in Alexa, globally. You contribute directly to More ❯

data scientists, engineers, and consultants are focused on accelerating digital transformation, ensuring tangible results for every client. Role Overview We are looking for a Machine Learning Manager to support a team of data scientists and ensure the successful delivery of our projects. The ideal candidate will be willing … operational transformation. Participate in international projects with opportunities for business travel. Ensure successful project delivery and communicate these successes across the company. Foster continuous learning and growth within the data science team. Provide mentorship, ensuring high work standards and supporting team well-being. Demonstrate technical leadership and contribute to … NoSQL). Understanding of software development lifecycle and agile methodologies. Proven experience designing, developing, and deploying machine learning models. Experience with debugging ML models. Experience with orchestration frameworks (e.g. Airflow, MLFlow, etc). Experience deploying machine learning models to production environments. Knowledge of MLOps practices and More ❯

that can be performed by you and others. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval and Analytics Experience directly managing scientists or machine learning engineers Experience programming in Java, C++, Python or related language Experience … with prompting techniques for LLMs PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers PhD in math/statistics/ More ❯

customer problems. Lead the technical discovery to understand the alignment between what Kumo offers and prospective customer expectations. Conduct product demos of Kumo solving ML problems in a variety of verticals, including finance/fraud, growth/marketing, personalization/commerce, and forecasting/optimization. Guide the customer to achieve … meaningful wins on high-impact ML problems, by leveraging your problem-solving skills, data science knowledge, and industry experience. Be hands-on, to help customers overcome challenges they may encounter in achieving sufficient model performance, or integrating Kumo into their production systems. Lead architecture reviews and security assessments. Maintain meaningful … relationships with technical influencers and champions within ML teams, both pre and post-sale. Educate current Kumo users on how to successfully use our product, best practices, etc. so that they increase usage across a larger number of internal workloads. Provide market and customer feedback to the Product and Engineering More ❯

Applied Scientist II, AGI Sensory and Machine Learning Builder Services Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition … recognition (ASR). BASIC QUALIFICATIONS MS or PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning. Familiar with programming languages such as C/C++, Java, Perl or Python. PREFERRED QUALIFICATIONS Experience in building speech recognition and natural language … processing systems (e.g. commercial speech products or government speech projects). Solid Machine Learning background and familiar with standard speech and machine learning techniques. Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field. Solid software More ❯

will be a key member of the LNIP Technology Team. Your primary responsibility will be to drive the strategic vision of Data Science and Machine Learning initiatives across the organization, ensuring alignment with organizational goals. You will lead development teams in research, design, and software development projects, providing … hosting events to inspire young females to consider and pursue careers in technology. Responsibilities: Lead the development and implementation of advanced data analytics and machine learning models to solve complex business problems. Collaborate with cross-functional teams to identify data-driven opportunities and provide actionable insights. Mentor and … guide junior data scientists, fostering a culture of continuous learning and improvement. Design and execute experiments to validate hypotheses and optimize model performance. Communicate findings and recommendations to stakeholders through clear and compelling data visualizations and presentations. Stay up-to-date with the latest industry trends and technologies to More ❯

publications, and Faculty's commercial ambition to build safe AI systems. This is a great opportunity to join a small, high agency team of machine learning researchers and practitioners applying data science and machine learning to business problems in the real world. What you'll be … partners. Who we are looking for A proven track record of high-impact AI research, evidenced by top-tier academic publications (ideally in top machine learning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in … contribute well-informed views about the differential value, and tractability, of different parts of the traditional AI Safety research agenda, or other areas of machine learning (e.g. explainability). Practical experience of machine learning, with a focus on areas such as robustness, explainability, or uncertainty estimation. More ❯

This role offers a compelling mix of technical innovation, leadership, and people management. You will lead a team of scientists and engineers to build Machine Learning solutions to address business critical needs. You will work closely with customers, product and program managers, other engineering managers, and tech leads … and directly impacts multiple organization goals and beyond. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems … especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process More ❯

the Team We are committed to delivering high-quality solutions tailored to the specific needs of our customers. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is transforming how actionable insights are extracted from patent data. Information can now be accessed … of the delivery process - from pre-sales support through to project delivery. The p rimary responsibility of this role will be the training of machine learning classifiers using patent data across a variety of technologies and industries . This supervised learning process is conducted using the proprietary … Cipher' platform - no prior experience with machine learning techniques is required . Responsibilities Early Focus: Training supervised machine learning classifiers with curated patent data to enable automated patent tagging against specific technologies. Conducting desk-based research into various technologies and products. Working with customers to understand More ❯