1 to 25 of 1,875 Machine Learning Jobs in London

NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series … reinforcement learning and recommendation systems. The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning … and Reinforcement Learning. For more information about the MLCOE, please visit this link . To learn about how we're using AI/ML to drive transformational change, please read this blog . The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's More ❯

NLP/LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time … series, reinforcement learning and recommendation systems. The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning … Deep Learning and Reinforcement Learning. For more information about the MLCOE, please visit . To learn about how we're using AI/ML to drive transformational change, please read this blog: . The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's More ❯

and are excited about working with cutting-edge technologies, apply today! You will: Design and implement product features and services that use AI and ML to augment and simplify our customers' workflows. Develop our internal ML platform to support our machine learning systems and our own efficiency. Monitor … learning systems. Build and operate pipelines for accessing and enriching data for machine learning. Train, tune, and ship models. Mentor other ML engineers, software engineers, and data scientists in best practices. Work with product managers and data scientists to translate product/business problems into tractable machine … science tools. Ability to communicate complex ideas in machine learning to non-technical stakeholders. You may have: Experience with one or more ML Ops frameworks - MLFlow, Kubeflow, Azure ML, Sagemaker. Strong theoretical foundations in linear algebra, probability theory, or optimization. Experience and training in finance and operations domains. More ❯

Job Title: Low-Level C++ Engineer (GPU & ML Optimization) Location: London, UK About the Client: We are partnering with an exciting, disruptive technology company at the forefront of machine learning (ML) and high-performance GPU computing. This innovative firm is leveraging cutting-edge GPU technology to optimize machine … learning algorithms and computational models, powering the next wave of AI and data-driven applications. Their mission is to drive performance optimization in ML and AI workloads, transforming industries such as autonomous vehicles, healthcare, and immersive gaming experiences. This is a fantastic opportunity for someone passionate about low-level … systems programming and ML optimization to be part of a team that is reshaping the future of technology. The Role: We are seeking a Low-Level C++ Engineer to join their team and work directly on optimizing GPU performance for machine learning (ML) workloads. As part of the More ❯

Job Title: Low-Level C++ Engineer (GPU & ML Optimization) Location: London, UK About the Client: We are partnering with an exciting, disruptive technology company at the forefront of machine learning (ML) and high-performance GPU computing. This innovative firm is leveraging cutting-edge GPU technology to optimize machine … learning algorithms and computational models, powering the next wave of AI and data-driven applications. Their mission is to drive performance optimization in ML and AI workloads, transforming industries such as autonomous vehicles, healthcare, and immersive gaming experiences. This is a fantastic opportunity for someone passionate about low-level … systems programming and ML optimization to be part of a team that is reshaping the future of technology. The Role: We are seeking a Low-Level C++ Engineer to join their team and work directly on optimizing GPU performance for machine learning (ML) workloads. As part of the More ❯

our business and customer needs. Your day-to-day: As a technical individual contributor, you'll be providing technical leadership and shipping highly impactful ML-based solutions. You'll be embedded in a cross functional product squad, working closely with product managers, data scientists, backend engineers and designers in an … levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others. Working closely with our ML platform team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle. You should … models to tackle real business problems preferably in a fast moving tech company. You have experience developing and shipping state of the art ML architectures to production and delivering business impact. You're impact driven and excited to own the end to end journey that starts with a business More ❯

Applied Science Manager, Traffic Quality ML Amazon is looking for an Applied Scientist with a machine learning background to help build industry-leading Speech and Language technology. Key job responsibilities Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected … human and invalid traffic within programmatic ad sources, and weed them out to ensure a high quality advertising marketplace. We do this by building machine learning and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of … reviewed publications and whitepapers Work with your engineering team and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production Keep updated on the industry landscape in Traffic Quality and identify algorithm investments to achieve an industry leading traffic quality solution Learn More ❯

planned, and you will be working in an innovative and collaborative environment with your international peers and colleagues. As the Machine Learning (ML) Engineer II, you will be responsible for developing AI Labs' machine learning platform and creating production-ready AI-based solutions for key impact … libraries according to the technology and product roadmaps. You will work collaboratively with application engineering, product, and business stakeholders to develop principled and innovative ML solutions from research to POC to production. You will also serve as an expert within Parexel, driving AI education and providing expert guidance to other … parts of the business. Key Accountabilities: ML and Natural Language Processing (NLP) Technology: • Leverage proprietary technology stack to build custom machine learning models • Design, implement, and document new ML/NLP modeling techniques and strategies • Develop Back-end/server-side software to support AI solution development and More ❯

We are seeking an experienced MLOps Engineer to bridge the gap between machine learning models and production environments. As an MLOps Engineer, you will be responsible for building, deploying, and maintaining scalable machine learning infrastructure in AWS. You will work closely with data scientists, DevOps teams … as SageMaker, Lambda, EKS, EC2, CloudFormation, and DynamoDB for deploying and managing machine learning models. Proficiency in containerization (Docker, Kubernetes) and automating ML pipelines using CI/CD tools like CodePipeline, Jenkins, and GitLab CI. Experience with model versioning tools (MLflow, DVC, SageMaker Model Registry) and automating data … standards. Background in machine learning libraries such as TensorFlow, PyTorch, or XGBoost for model development and training. Familiarity with serverless computing for ML workflows using AWS Lambda and API Gateway, and multi-cloud environments. If you are a skilled MLOps Engineer with a passion for automating machine More ❯

about the options for this particular role. Grade: GG10-GG11 Referral Bonus: £5,000 Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE … Systems as an experienced Machine Learning (ML) Engineer. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identity where AI/ML-based solutions can add value. You will lead on prototype development and be responsible … for designing, implementing, and deploying AI solutions. This cross-functional role requires a strong foundation in software engineering, statistics, and AI/ML concepts. Due to the fast-paced change in AI/ML, you are expected to be aware of the latest advancements in AI and ML technologies, ensuring More ❯

back to the Moon and pioneering innovative solutions in the space industry. Based in Westminster Colorado, this incredible team is looking for a Staff Machine Learning Engineer who's eager to push the state of the art in the aerospace industry. This position is responsible for designing, building … and testing machine learning models and systems that can solve real-world problems in domains such as spacecraft autonomy, anomaly detection and classification, natural language processing, uncertainty quantification, and multimodal signal detection & characterization. This position will be headquartered at our Westminster, Colorado offices and is primarily an on … Space provides mission and flight optimization, mission design, mission systems engineering. With its technology solutions Advanced Space provides its customers with trusted AI/ML/autonomy expertise, flight-demonstrated applications, and analysis at scale. Advanced Space offers Mission Solutions with unique turn-key missions, data and capabilities purchases and More ❯

supply chain operations, and unlock new business opportunities. This includes building impactful recommendation systems and contributing to data-driven product development. Champion AI/ML Best Practices: Be a passionate advocate for AI/ML within On. Promote best practices in model development, deployment, and monitoring. Educate and mentor other … be part of a talented and diverse team of data engineers, data scientists and product managers passionate about revolutionizing how we leverage AI/ML to solve complex challenges across On. We are building innovative machine learning solutions to optimize internal processes, enhance customer experiences, and drive business … growth in areas ranging from e-commerce to supply chain optimisation. As the most senior IC ML expert, you will play a critical role in shaping our AI strategy and mentoring other engineers. What We Offer On is a place that is centered around growth and progress. We offer an More ❯

over 80 million passengers a year, we employ over 13,000 people. Its big-scale stuff and we're still growing. JOB PURPOSE The ML Ops Engineer acts as the backbone of machine learning operations, bridging the gap between research and production. They collaborate with teams across the … organisation to ensure that machine learning models are scalable, reliable, and seamlessly integrated into business processes. This role is critical for driving innovation while enabling teams to focus on strategic business challenges. JOB ACCOUNTABILITIES Manages the technical aspects of machine learning operations, ensuring workflow robustness, scalability … and reliability. Designs and maintains CI/CD pipelines for continuous integration, deployment, and monitoring of machine learning models in production. Automates machine learning pipelines for efficient data flow and transformation, ensuring high data quality. This includes tools for data versioning, lineage tracking, and model reproducibility. More ❯

Engineer to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on developing and advancing ML/AI across our platforms, researching and investigating new machine learning applications within the company, and improving pre-existing models. Role & Core Responsibilities … learning applications within the company, and improve on pre-existing models. Collaborate closely with product and development teams to define and prepare new ML applications. Analyse performance and continuously improve scoring processes for hosted models. Best Bits of the Job Exposure to a phenomenal array of machine learning … Large Language Models (LLMs), to enhance our products and services. Fully real-time architecture for data processing, model development, and deployment. Deploying and enhancing ML frameworks, optimizing for inference, and training/retraining cycles. Online testing for models with live data using proprietary A/B/N testing technology More ❯

impact of machine learning and AI throughout Trainline. We are looking for a Machine Learning Engineer to join the Product ML team to help shape the future of train travel. You will build highly innovative AI and ML products working alongside engineers, scientists and product managers … Trainline you will be joining an environment where learning and development is top priority. You will have the opportunity to work with fellow ML enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of users. As a Machine Learning … that leverage Trainline's extensive datasets and state of the art algorithms Create the tools, frameworks and libraries that enable the acceleration of our ML products delivery and improve our workflows Take an active part in our AI and ML community and foster a culture of rigorous learning and More ❯

and event in the operating room into comprehensive, structured, and context-rich data that drive better insights and decision making we are seeking two machine learning engineers to join our data team. Using your deep technical expertise and real-world experience you will be instrumental in developing and … deploying machine learning solutions that improve clinical outcomes, drive productivity and support Proximie's continuing evolution into the unrivalled champion of the intelligent operating room. The first machine learning engineer position will work with multi-modal data (audio, vision, and language) to curate, consolidate, and augment … retrospective and prospective datasets that fuel the development of advanced machine learning solutions. You'll harness the power of Proximie's deep data lakes and apply cutting-edge generative techniques to solve real-world challenges for Proximie's customers. The second machine learning engineer position will More ❯

Grow with us. We are looking for a Machine Learning Engineer to work along the end-to-end ML lifecycle, alongside our existing Product & Engineering team. About Trudenty: The Trudenty Trust Network provides personalised consumer fraud risk intelligence for fraud prevention across the commerce and payments ecosystem, starting … datasets to extract meaningful insights and features for model training MLOps - Deployment into production environments, Monitoring and Maintenance Experience deploying and maintaining large-scale ML inference pipelines into production Implement and monitor model performance in production environments on Kubernetes and AWS cloud platforms. Utilize Docker for containerization and orchestrate containerized … science and a track record of implementing fraud prevention, credit scoring or personalization algorithms. Setting up and maintaining real data pipelines to feed your ML models is light work for you, and you would have been as comfortable if this JD was for a 'data engineer'. You have worked More ❯

Machine Learning Manager manages the work efforts of Machine Learning Scientists and is accountable for the performance and results of their staff. They oversee highly complex projects that have significant impact on the organization, consult on complex issues, and contribute key ideas. They are a spokesperson … and advocate on relevant machine learning topics to both internal and external audiences and stakeholders. They contribute directly to the features and capabilities deployed in our applications and are responsible for advanced project delivery, execution, and support. They work closely with cross-functional business units, software engineering, and … econometric/probabilistic relationships across the big data stack, and with product and marketing teams to understand client goals and turn research into products. Machine Learning Managers provide guidance to their staff within the latitude of established company policies, receiving assignments in the form of objectives and determining More ❯

delightful products and experiences for millions, in an agile environment, collaborating with teams across Engineering and Product. Further, you will be immersed in groundbreaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives. You Will: Design and develop various machine learning … Science, with a specialization in machine learning or equivalent experience. Experience with Python, and ideally also Scala or Java. Experience in developing ML models for structured data, and ideally also unstructured data. Industry work experience in designing and implementing large-scale machine learning-based solutions that … DL training/Inference. Experience with reducing model serving latency, memory footprint. Experience in cloud-based environments, such as AWS. Experience working with custom ML platforms. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender More ❯

pd, Outside IR35 | 6-12 months Contract Length The Client: A leading organization in the drug discovery field is currently looking for a Principal ML Engineer to spearhead the technical direction for their structural biology models. This hands-on, high-impact role offers the opportunity to advance the application of … of how these models are applied within drug discovery workflows. A proven track record in setting strategy, solving complex technical problems, and delivering impactful ML systems is essential. Principal Machine Learning Engineer, Structural Biology | Pharma/BioTech expertise | Series A - Drug discovery B2B Platform | Fully Remote, EU … initial functional model extension (e.g., binding affinity prediction head), complete with a clear benchmarking framework and a replicable pipeline. By month 12: Oversee multiple ML initiatives in structural biology, showcasing significant improvements in model accuracy and practical impact. Provide mentorship to peers and set the strategic direction for the area.nd More ❯

pd, Outside IR35 | 6-12 months Contract Length The Client: A leading organization in the drug discovery field is currently looking for a Principal ML Engineer to spearhead the technical direction for their structural biology models. This hands-on, high-impact role offers the opportunity to advance the application of … of how these models are applied within drug discovery workflows. A proven track record in setting strategy, solving complex technical problems, and delivering impactful ML systems is essential. Principal Machine Learning Engineer, Structural Biology | Pharma/BioTech expertise | Series A - Drug discovery B2B Platform | Fully Remote, EU … initial functional model extension (e.g., binding affinity prediction head), complete with a clear benchmarking framework and a replicable pipeline. By month 12: Oversee multiple ML initiatives in structural biology, showcasing significant improvements in model accuracy and practical impact. Provide mentorship to peers and set the strategic direction for the area.nd More ❯

pd, Outside IR35 | 6-12 months Contract Length The Client: A leading organization in the drug discovery field is currently looking for a Principal ML Engineer to spearhead the technical direction for their structural biology models. This hands-on, high-impact role offers the opportunity to advance the application of … of how these models are applied within drug discovery workflows. A proven track record in setting strategy, solving complex technical problems, and delivering impactful ML systems is essential. Principal Machine Learning Engineer, Structural Biology | Pharma/BioTech expertise | Series A - Drug discovery B2B Platform | Fully Remote, EU … initial functional model extension (e.g., binding affinity prediction head), complete with a clear benchmarking framework and a replicable pipeline. By month 12: Oversee multiple ML initiatives in structural biology, showcasing significant improvements in model accuracy and practical impact. Provide mentorship to peers and set the strategic direction for the area.nd More ❯

pd, Outside IR35 | 6-12 months Contract Length The Client: A leading organization in the drug discovery field is currently looking for a Principal ML Engineer to spearhead the technical direction for their structural biology models. This hands-on, high-impact role offers the opportunity to advance the application of … of how these models are applied within drug discovery workflows. A proven track record in setting strategy, solving complex technical problems, and delivering impactful ML systems is essential. Principal Machine Learning Engineer, Structural Biology | Pharma/BioTech expertise | Series A - Drug discovery B2B Platform | Fully Remote, EU … initial functional model extension (e.g., binding affinity prediction head), complete with a clear benchmarking framework and a replicable pipeline. By month 12: Oversee multiple ML initiatives in structural biology, showcasing significant improvements in model accuracy and practical impact. Provide mentorship to peers and set the strategic direction for the area.nd More ❯

pd, Outside IR35 | 6-12 months Contract Length The Client: A leading organization in the drug discovery field is currently looking for a Principal ML Engineer to spearhead the technical direction for their structural biology models. This hands-on, high-impact role offers the opportunity to advance the application of … of how these models are applied within drug discovery workflows. A proven track record in setting strategy, solving complex technical problems, and delivering impactful ML systems is essential. Principal Machine Learning Engineer, Structural Biology | Pharma/BioTech expertise | Series A - Drug discovery B2B Platform | Fully Remote, EU … initial functional model extension (e.g., binding affinity prediction head), complete with a clear benchmarking framework and a replicable pipeline. By month 12: Oversee multiple ML initiatives in structural biology, showcasing significant improvements in model accuracy and practical impact. Provide mentorship to peers and set the strategic direction for the area.nd More ❯

pd, Outside IR35 | 6-12 months Contract Length The Client: A leading organization in the drug discovery field is currently looking for a Principal ML Engineer to spearhead the technical direction for their structural biology models. This hands-on, high-impact role offers the opportunity to advance the application of … of how these models are applied within drug discovery workflows. A proven track record in setting strategy, solving complex technical problems, and delivering impactful ML systems is essential. Principal Machine Learning Engineer, Structural Biology | Pharma/BioTech expertise | Series A - Drug discovery B2B Platform | Fully Remote, EU … initial functional model extension (e.g., binding affinity prediction head), complete with a clear benchmarking framework and a replicable pipeline. By month 12: Oversee multiple ML initiatives in structural biology, showcasing significant improvements in model accuracy and practical impact. Provide mentorship to peers and set the strategic direction for the area.nd More ❯